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The differences between encoding machine operators and operators can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become an encoding machine operator, becoming an operator takes usually requires 2-4 years. Additionally, an operator has an average salary of $37,928, which is higher than the $29,755 average annual salary of an encoding machine operator.
The top three skills for an encoding machine operator include data entry, encode and video. The most important skills for an operator are safety procedures, CDL, and emergency calls.
| Encoding Machine Operator | Operator | |
| Yearly salary | $29,755 | $37,928 |
| Hourly rate | $14.31 | $18.23 |
| Growth rate | -3% | 7% |
| Number of jobs | 54,155 | 159,077 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 40% | High School Diploma, 40% |
| Average age | 43 | 43 |
| Years of experience | 2 | 4 |
Encoding machine operators and operators have different pay scales, as shown below.
| Encoding Machine Operator | Operator | |
| Average salary | $29,755 | $37,928 |
| Salary range | Between $23,000 And $37,000 | Between $27,000 And $53,000 |
| Highest paying City | - | San Jose, CA |
| Highest paying state | - | North Dakota |
| Best paying company | - | Microsoft |
| Best paying industry | - | Technology |
There are a few differences between an encoding machine operator and an operator in terms of educational background:
| Encoding Machine Operator | Operator | |
| Most common degree | Bachelor's Degree, 40% | High School Diploma, 40% |
| Most common major | Business | Business |
| Most common college | Stanford University | - |
Here are the differences between encoding machine operators' and operators' demographics:
| Encoding Machine Operator | Operator | |
| Average age | 43 | 43 |
| Gender ratio | Male, 42.3% Female, 57.7% | Male, 73.0% Female, 27.0% |
| Race ratio | Black or African American, 8.6% Unknown, 4.9% Hispanic or Latino, 9.9% Asian, 12.3% White, 63.8% American Indian and Alaska Native, 0.6% | Black or African American, 16.2% Unknown, 4.4% Hispanic or Latino, 18.6% Asian, 2.5% White, 57.6% American Indian and Alaska Native, 0.8% |
| LGBT Percentage | 10% | 4% |