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The differences between encoding machine operators and computer operators can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both an encoding machine operator and a computer operator. Additionally, a computer operator has an average salary of $42,722, 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 a computer operator are CAD, customer service, and computer system.
| Encoding Machine Operator | Computer Operator | |
| Yearly salary | $29,755 | $42,722 |
| Hourly rate | $14.31 | $20.54 |
| Growth rate | -3% | 10% |
| Number of jobs | 54,155 | 39,579 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 40% | Bachelor's Degree, 38% |
| Average age | 43 | 43 |
| Years of experience | 2 | 2 |
Encoding machine operators and computer operators have different pay scales, as shown below.
| Encoding Machine Operator | Computer Operator | |
| Average salary | $29,755 | $42,722 |
| Salary range | Between $23,000 And $37,000 | Between $28,000 And $63,000 |
| Highest paying City | - | New York, NY |
| Highest paying state | - | New York |
| Best paying company | - | NTT Data International L.L.C. |
| Best paying industry | - | Technology |
There are a few differences between an encoding machine operator and a computer operator in terms of educational background:
| Encoding Machine Operator | Computer Operator | |
| Most common degree | Bachelor's Degree, 40% | Bachelor's Degree, 38% |
| Most common major | Business | Computer Science |
| Most common college | Stanford University | Stanford University |
Here are the differences between encoding machine operators' and computer operators' demographics:
| Encoding Machine Operator | Computer Operator | |
| Average age | 43 | 43 |
| Gender ratio | Male, 42.3% Female, 57.7% | Male, 66.0% Female, 34.0% |
| 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, 8.6% Unknown, 4.9% Hispanic or Latino, 9.9% Asian, 12.3% White, 63.8% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 10% | 10% |