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The differences between encoding machine operators and converter 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 converter operator. Additionally, a converter operator has an average salary of $35,271, 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 converter operator are quality checks, hand tools, and pallets.
| Encoding Machine Operator | Converter Operator | |
| Yearly salary | $29,755 | $35,271 |
| Hourly rate | $14.31 | $16.96 |
| Growth rate | -3% | 7% |
| Number of jobs | 54,155 | 46,876 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 40% | High School Diploma, 45% |
| Average age | 43 | 43 |
| Years of experience | 2 | 2 |
Encoding machine operators and converter operators have different pay scales, as shown below.
| Encoding Machine Operator | Converter Operator | |
| Average salary | $29,755 | $35,271 |
| Salary range | Between $23,000 And $37,000 | Between $28,000 And $43,000 |
| Highest paying City | - | - |
| Highest paying state | - | - |
| Best paying company | - | - |
| Best paying industry | - | - |
There are a few differences between an encoding machine operator and a converter operator in terms of educational background:
| Encoding Machine Operator | Converter Operator | |
| Most common degree | Bachelor's Degree, 40% | High School Diploma, 45% |
| Most common major | Business | Business |
| Most common college | Stanford University | Stanford University |
Here are the differences between encoding machine operators' and converter operators' demographics:
| Encoding Machine Operator | Converter Operator | |
| Average age | 43 | 43 |
| Gender ratio | Male, 42.3% Female, 57.7% | Male, 71.9% Female, 28.1% |
| 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% |