Railroad operating engineer jobs near me

General Information Req # WD00089615 Career area: Project Management Country/Region: United States of America State: Illinois City: Chicago Working time: Full-time Additional Locations: * United States of America - Illinois - Chicago Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit *************** and read about the latest news via our StoryHub. Description and Requirements About Our Team The Lenovo AI Ecosystem Group is a newly formed organization targeted at transforming Lenovo's AI product offerings into a world class AI ecosystem environment that delivers a unique and leading AI experience for our customers. To orchestrate this global effort, we're seeking a Release Train Engineer (RTE) to drive cross-functional delivery and alignment across multiple Agile teams developing Lenovo's AI platforms, services, and partner integrations. The Release Train Engineer (RTE) is the servant leader and chief Scrum Master for the Lenovo AI Ecosystem Agile Release Train (ART). This role facilitates the delivery of complex, cross-domain AI initiatives - ensuring synchronization predictable delivery, collaboration at scale, and relentless improvement as Lenovo continues to evolve its AI ecosystem strategy. If you are passionate about scaling Agile delivery, driving cross-team collaboration, and fostering a culture of Lean-Agile excellence, this role is for you. Location: Chicago is highly preferred, open to remote work. Travel: Monthly travel is required. What You'll Do Program Execution & SAFe Facilitation * Lead and facilitate all major SAFe ceremonies for the AI Ecosystem ART, including PI Planning, ART Syncs, System Demos, and Inspect & Adapt workshops. * Ensure alignment across AI product teams (e.g., Edge AI, AI PC, Cloud AI Services, AI Management Platform). * Partner with Product Management, Architecture, and Business Owners to define and achieve Program Increment (PI) objectives. * Track and communicate program progress, risks, dependencies, and delivery outcomes to stakeholders. Leadership & Coaching * Serve as a Lean-Agile coach for teams and leaders across the AI Ecosystem program. * Mentor Scrum Masters and Product Owners to strengthen Agile maturity. * Foster a culture of continuous improvement, innovation, and cross-functional collaboration. * Drive consistency and flow across AI development pipelines, from data to deployment. Metrics & Delivery Transparency * Establish and report on ART metrics such as predictability, velocity, and business value delivery. * Use flow metrics to identify and address bottlenecks across AI solution streams. * Provide actionable insights to improve team alignment, quality, and delivery cadence. Stakeholder Alignment * Collaborate closely with AI leadership, Lenovo Research, Global Marketing, and Infrastructure Solutions Group (ISG) teams. * Facilitate alignment across product, data science, and go-to-market streams. * Communicate effectively with global stakeholders - including external AI partners and ecosystem collaborators. Basic Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or Business. * 10+ years of experience in Agile program or project management. * 2+ years as a Release Train Engineer (RTE) or equivalent Agile leadership role. * Experience leading large-scale, cross-functional AI or software delivery initiatives. Preferred Qualifications * SAFe Release Train Engineer (RTE) * SAFe Program Consultant (SPC) or SAFe Agilist (SA). * Certified Scrum Master (CSM) or Agile Coach certification. * Familiarity with AI/ML delivery pipelines and MLOps frameworks is a plus. * Strong understanding of SAFe, Agile, Lean, and DevOps principles. * Excellent facilitation, communication, and servant leadership skills. * Ability to manage complex dependencies and influence across global teams. The base salary budgeted range for this position is $180K - $210K. Individuals may also be considered for bonus and/or commission. Lenovo's various benefits can be found on *********************** In compliance with Colorado's EPEWA, the expected application deadline for this position is December 15, 2025. This applies to both external and internal candidates. #LI-Remote We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations: * United States of America - Illinois - Chicago * United States of America * United States of America - Illinois * United States of America - Illinois - Chicago

A global materials science manufacturing company is looking for a Release Train Engineer to join their Sales and Marketing Team. The ideal candidate will have a proven track record of facilitating Agile processes and leading cross-functional teams, with specific expertise in Learning Management Systems (LMS), signed-on customer experiences. The candidate will have experience in Sales & Marketing and a passion for improving customer experience. This role is pivotal in fostering a culture of continuous improvement, collaboration, and high performance across cross-functional teams. In this role, you will guide product teams through the agile development lifecycle, ensuring the successful delivery of high-quality solutions that meet both business and user needs. Key Responsibilities - Serve as Scrum Master for one or more Agile teams, facilitating daily stand-ups, sprint planning, reviews, and retrospectives. - Coach team members on Agile principles and best practices to foster continuous improvement and a collaborative, high-performing environment. - Collaborate closely with Product Owners to write clear, actionable epics and user stories that align with business objectives and stakeholder requirements. - Work with technical leads to ensure seamless Learning Management System and single signed-on (SSO) experiences. - Remove impediments and shield the team from external distractions to maintain focus and productivity. - Monitor sprint progress, track metrics, and generate reports to inform decision-making and demonstrate project health. - Facilitate communication between development, QA, and business stakeholders to ensure transparency and alignment. - Champion Agile methodologies and advocate for continuous learning and process improvement across the organization. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Bachelor's degree in Computer Science, Information Technology, Business, or a related field. - Certified Scrum Master (CSM), SAFe Release Train Engineer (RTE) certification - Minimum 5 years of experience as a Scrum Master in a software development environment. - Hands-on experience with Learning Management Systems (such as Moodle, Blackboard, Canvas, or similar platforms). - Solid understanding of Single Sign-On (SSO) technologies and best practices. - Proven ability to write effective epics and user stories for software development teams. - Excellent communication, facilitation, and conflict resolution skills. - Strong analytical and problem-solving capabilities. - Experience using Agile project management tools (e.g., Jira, Azure DevOps, Trello). - Experience in the education technology sector or with enterprise LMS deployments. - Experience in regulated industries including pharma and medical device, a plus. - Knowledge of authentication protocols (e.g., SAML, OAuth, OpenID Connect). - Ability to mentor and train team members in Agile practices. - Familiarity with software development lifecycle (SDLC) and DevOps practices. - Experience in pharma, med device or regulated healthcare

BGE Inc. is seeking an EIT to join our Land/Site Development Department in our Sarasota, FL office BGE, Inc. is a nationwide consulting firm that provides civil engineering, planning, landscape architecture, construction management, survey, and environmental services for public and private clients. Our employees enjoy a comprehensive benefits package that includes outstanding health care, generous 401(k) match, career mapping, and highly competitive time away from work programs including remote work, dependent care, and flexible Fridays. Job Description: Independently performs engineering assignments with clear and specified objectives. Responsible for the preparation of feasibility studies and master planning. Responsible for engineering design of water, sanitary, and storm sewer, paving, and drainage facilities. Coordinate with other disciplines and outside consultants as required. Participate in the Construction Administration process by responding to RFI, reviewing Contractor Submittals, and attending meetings in the field. Works well in a team-oriented environment. Job Requirements: Bachelor's degree in Civil Engineering or related field. 2-4 years' experience preferred. Passed Fundamentals Exam (FE). Understanding of governmental public and private development codes and ordinances. Strong oral and written communication skills. Ability to work in a fast-paced environment. Knowledge of AutoCAD Civil 3D is required. NO SPONSORSHIP NO AGENCIES BGE is an equal opportunity employer and values diversity. We prohibit discrimination and all employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, Vietnam Era Veteran Status, Disabled Veteran Status, or any other classification protected by federal, state or local laws.

Release Train Engineer - BA06BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. We are seeking a high-caliber, self-driven Release Train Engineer to lead the end-to-end execution, governance, and flow of the Middle & Large business Product Transformation value stream. This is not a traditional "ceremony facilitator" RTE role. You will operate as the COO of the value stream, owning delivery, predictability, risk posture, budgeting alignment, dependency management, and cross-functional orchestration across engineering, product, architecture, underwriting, and shared service teams. The ideal candidate is a systems leader who brings structure, clarity, and calm execution to complex programs, while championing an engineering-centric culture grounded in flow metrics, technical excellence, and accountability. You will be trusted to manage the value stream without requiring daily oversight from the VS leader - presenting information at the right altitude (CIO-ready high-level to deep operational detail) and demonstrating full control over scope, timelines, and risks. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key Responsibilities: Value Stream Leadership & Execution + Own end-to-end delivery execution of epics and capabilities across multiple ARTs and teams. + Drive predictable delivery through flow metrics, capacity planning, dependency mapping, and risk management. + Ensure budget adherence, resource utilization visibility, and proactive forecasting. + Operate with a mindset of continuous improvement and operational excellence. Strategic Program Management + Translate VS strategy into executable roadmaps and PI objectives. + Run pre-PI activities to eliminate ambiguity before planning. + Coordinate sequencing, scope negotiation, and trade-offs with product, engineering, and architecture. + Ensure intake → estimation → prioritization → execution → release is smooth, scalable, and data-driven. Risk, Issue & Dependency Management + Build a proactive risk culture, not reactive fire-fighting. + Identify systemic blockers early using flow metrics, not opinions. + Maintain a transparent, no-surprises cadence with leadership. + Resolve multi-team conflicts with clarity, data, and executive presence. Engineering-Centric Delivery Culture + Promote engineering fundamentals - design, quality, observability, testing, and technical debt visibility. + Ensure RTE function supports engineering, not substitutes for it. + Never operate as a "status collector"; own the details personally through systems, metrics, and direct engagement. + Give full credit to engineering leads and team members; reinforce high trust and high ownership culture. Clear, Audience-Appropriate Communication + Present status differently depending on audience: + CIO-level: outcomes, risks, decisions needed, high-level flow indicators. + Value Stream Leader: timeline, budget, cross-team risks, dependencies, bottlenecks, mitigation clarity. + Engineering/Team level: scope, impediments, alignment, actions, next steps. + Drive alignment without noise and create a predictable flow of communication. Coaching & Influence + Coach Scrum Masters, Program Teams, and Product partners on Lean-Agile practices and flow optimization. + Improve team health, team accountability, and cross-team collaboration. + Shift culture from "ceremony-driven" to data-driven, system-driven, and outcome-driven. What Great Looks Like + Operates two steps ahead of risks and escalations + Manages complex dependencies calmly and intelligently + Speaks to executives with confidence and clarity + Understands architecture, engineering fundamentals, and delivery pipelines + Uses WSJF and flow metrics to drive decisions + Makes the system better without waiting for direction + Drives accountability in a respectful, people-first way + Allows the VS leader to focus on strategy, not daily program management + The VS leader does not need to get involved in day-to-day execution. + CIOs and business partners consistently see clear, confident updates. + Engineering feels supported, not burdened. + PI planning is quiet, tight, and predictable - not chaotic. + Risks are surfaced early and mitigated before escalation. + The value stream becomes predictable, efficient, and high-trust. + The RTE becomes a true business + engineering partner, not an event facilitator. Required Qualifications + 7+ years of experience as RTE, Program Manager, or Senior Scrum Master in large-scale Agile environments + Proven ability to run complex ARTs/value streams across multiple products, teams, and domains + Deep experience with: + Flow metrics (flow time, load, efficiency, predictability) + WSJF prioritization + Risk and dependency management + PI Planning orchestration + Executive-level communication + Strong understanding of engineering processes (DevOps, CI/CD, testing, cloud, observability) + Exceptional facilitation, conflict resolution, and influence without authority + Ability to own delivery outcomes end-to-end with minimal oversight + Calm under pressure + Thinks in systems, not tasks + Obsessed with predictability and flow + Data-driven, not opinion-driven + Empathetic, but drives accountability + Able to challenge product, engineering, and architecture respectfully + High integrity; gives credit to engineering, never steals spotlight + Executive presence with humility and clarity Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $136,800 - $205,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

BGE Inc. is seeking an EIT to join our Land/Site Development Department in our Sarasota, FL office BGE, Inc. is a nationwide consulting firm that provides civil engineering, planning, landscape architecture, construction management, survey, and environmental services for public and private clients. Our employees enjoy a comprehensive benefits package that includes outstanding health care, generous 401(k) match, career mapping, and highly competitive time away from work programs including remote work, dependent care, and flexible Fridays. Job Description: Independently performs engineering assignments with clear and specified objectives. Responsible for the preparation of feasibility studies and master planning. Responsible for engineering design of water, sanitary, and storm sewer, paving, and drainage facilities. Coordinate with other disciplines and outside consultants as required. Participate in the Construction Administration process by responding to RFI, reviewing Contractor Submittals, and attending meetings in the field. Works well in a team-oriented environment. Job Requirements: Bachelor's degree in Civil Engineering or related field. 2-4 years' experience preferred. Passed Fundamentals Exam (FE). Understanding of governmental public and private development codes and ordinances. Strong oral and written communication skills. Ability to work in a fast-paced environment. Knowledge of AutoCAD Civil 3D is required. NO SPONSORSHIP NO AGENCIES BGE is an equal opportunity employer and values diversity. We prohibit discrimination and all employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, Vietnam Era Veteran Status, Disabled Veteran Status, or any other classification protected by federal, state or local laws.

Release Train Engineer - BA06BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. We are seeking a high-caliber, self-driven Release Train Engineer to lead the end-to-end execution, governance, and flow of the Middle & Large business Product Transformation value stream. This is not a traditional "ceremony facilitator" RTE role. You will operate as the COO of the value stream, owning delivery, predictability, risk posture, budgeting alignment, dependency management, and cross-functional orchestration across engineering, product, architecture, underwriting, and shared service teams. The ideal candidate is a systems leader who brings structure, clarity, and calm execution to complex programs, while championing an engineering-centric culture grounded in flow metrics, technical excellence, and accountability. You will be trusted to manage the value stream without requiring daily oversight from the VS leader - presenting information at the right altitude (CIO-ready high-level to deep operational detail) and demonstrating full control over scope, timelines, and risks. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key Responsibilities: Value Stream Leadership & Execution * Own end-to-end delivery execution of epics and capabilities across multiple ARTs and teams. * Drive predictable delivery through flow metrics, capacity planning, dependency mapping, and risk management. * Ensure budget adherence, resource utilization visibility, and proactive forecasting. * Operate with a mindset of continuous improvement and operational excellence. Strategic Program Management * Translate VS strategy into executable roadmaps and PI objectives. * Run pre-PI activities to eliminate ambiguity before planning. * Coordinate sequencing, scope negotiation, and trade-offs with product, engineering, and architecture. * Ensure intake → estimation → prioritization → execution → release is smooth, scalable, and data-driven. Risk, Issue & Dependency Management * Build a proactive risk culture, not reactive fire-fighting. * Identify systemic blockers early using flow metrics, not opinions. * Maintain a transparent, no-surprises cadence with leadership. * Resolve multi-team conflicts with clarity, data, and executive presence. Engineering-Centric Delivery Culture * Promote engineering fundamentals - design, quality, observability, testing, and technical debt visibility. * Ensure RTE function supports engineering, not substitutes for it. * Never operate as a "status collector"; own the details personally through systems, metrics, and direct engagement. * Give full credit to engineering leads and team members; reinforce high trust and high ownership culture. Clear, Audience-Appropriate Communication * Present status differently depending on audience: * CIO-level: outcomes, risks, decisions needed, high-level flow indicators. * Value Stream Leader: timeline, budget, cross-team risks, dependencies, bottlenecks, mitigation clarity. * Engineering/Team level: scope, impediments, alignment, actions, next steps. * Drive alignment without noise and create a predictable flow of communication. Coaching & Influence * Coach Scrum Masters, Program Teams, and Product partners on Lean-Agile practices and flow optimization. * Improve team health, team accountability, and cross-team collaboration. * Shift culture from "ceremony-driven" to data-driven, system-driven, and outcome-driven. What Great Looks Like * Operates two steps ahead of risks and escalations * Manages complex dependencies calmly and intelligently * Speaks to executives with confidence and clarity * Understands architecture, engineering fundamentals, and delivery pipelines * Uses WSJF and flow metrics to drive decisions * Makes the system better without waiting for direction * Drives accountability in a respectful, people-first way * Allows the VS leader to focus on strategy, not daily program management * The VS leader does not need to get involved in day-to-day execution. * CIOs and business partners consistently see clear, confident updates. * Engineering feels supported, not burdened. * PI planning is quiet, tight, and predictable - not chaotic. * Risks are surfaced early and mitigated before escalation. * The value stream becomes predictable, efficient, and high-trust. * The RTE becomes a true business + engineering partner, not an event facilitator. Required Qualifications * 7+ years of experience as RTE, Program Manager, or Senior Scrum Master in large-scale Agile environments * Proven ability to run complex ARTs/value streams across multiple products, teams, and domains * Deep experience with: * Flow metrics (flow time, load, efficiency, predictability) * WSJF prioritization * Risk and dependency management * PI Planning orchestration * Executive-level communication * Strong understanding of engineering processes (DevOps, CI/CD, testing, cloud, observability) * Exceptional facilitation, conflict resolution, and influence without authority * Ability to own delivery outcomes end-to-end with minimal oversight * Calm under pressure * Thinks in systems, not tasks * Obsessed with predictability and flow * Data-driven, not opinion-driven * Empathetic, but drives accountability * Able to challenge product, engineering, and architecture respectfully * High integrity; gives credit to engineering, never steals spotlight * Executive presence with humility and clarity Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $136,800 - $205,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Our Fortune 500 Client is seeking a Release Train Engineer for a potentially long-term, remote role. We need a senior-level person who can work with multiple products and coordinate their releases amongst all of those products. The RTE role is the keeper of Agile for a program, so they must have the capability to be involved with pre- and post-PI (program incremental) planning, keep up with the program Kanban board, all the way down to the individual product and team boards in ADO. This person will ideally have the ability to also act as a Product Owner and Business Analyst as well but will mainly be the RTE or Scrum Master running with everything from user stories with acceptance criteria, to story points, to defining stories and prioritizing the backlog, to coordinating releases and leading the PI planning meetings. They must be comfortable working with the client to populate that information in ADO and also have enough experience to coordinate that amongst multiple products (currently they have 5). It is similar to a Project Manager, but this RTE will have specific skills per SAFe & Agile. They facilitate ART (Agile Release Train) events/processes & communicate with stakeholders, escalate impediments, help manage risk & drive improvement We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements - Release Train Engineering experience - Scaled Agile Release Train Engineer Certification (SAFe) - AWS Cloud Migration experience - Azure DevOps experience - Experience facilitating ART (agile release train) events/processes and communicate with stakeholders - Someone who can be uncomfortable with ambiguity (needs to be proactive rather than reactive) - Experience as a Scrum Master - UAT testing experience

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models-specifically those that cause the AI to fail or demonstrate reasoning limits-while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1-2 days after approval ## 5\. Compensation & Contract Terms - $60-80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20-30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.