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The differences between ads quality raters and functional testers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both an ads quality rater and a functional tester. Additionally, a functional tester has an average salary of $76,647, which is higher than the $23,940 average annual salary of an ads quality rater.
The top three skills for an ads quality rater include web content, web pages and content accuracy. The most important skills for a functional tester are java, test cases, and web application.
| ADS Quality Rater | Functional Tester | |
| Yearly salary | $23,940 | $76,647 |
| Hourly rate | $11.51 | $36.85 |
| Growth rate | - | - |
| Number of jobs | 72,363 | 37,146 |
| Job satisfaction | 5 | - |
| Most common degree | Bachelor's Degree, 61% | Bachelor's Degree, 62% |
| Average age | 44 | 44 |
| Years of experience | 4 | 4 |
Ads quality raters and functional testers have different pay scales, as shown below.
| ADS Quality Rater | Functional Tester | |
| Average salary | $23,940 | $76,647 |
| Salary range | Between $18,000 And $30,000 | Between $61,000 And $94,000 |
| Highest paying City | Washington, DC | Bellevue, WA |
| Highest paying state | Utah | Washington |
| Best paying company | Cerner | |
| Best paying industry | Technology | Technology |
There are a few differences between an ads quality rater and a functional tester in terms of educational background:
| ADS Quality Rater | Functional Tester | |
| Most common degree | Bachelor's Degree, 61% | Bachelor's Degree, 62% |
| Most common major | Business | Computer Science |
| Most common college | Stanford University | California State University - Long Beach |
Here are the differences between ads quality raters' and functional testers' demographics:
| ADS Quality Rater | Functional Tester | |
| Average age | 44 | 44 |
| Gender ratio | Male, 33.4% Female, 66.6% | Male, 65.3% Female, 34.7% |
| Race ratio | Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5% | Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5% |
| LGBT Percentage | 11% | 11% |