Information has to get into the system right the first time, and that's your job: keying, verifying, and processing data at volume. Where speed and zero-error precision coexist.
The work is high-volume, repetitive, and exacting: entering data, checking it, and catching errors before they spread. You're at a screen most of the day, often hitting throughput targets, and a typo here becomes a problem everywhere downstream. Quality checks are part of the rhythm.
What people underestimate is how much focus relentless accuracy demands: monotonous yet unforgiving. Throughput targets can pressure the pace, the tasks repeat, and automation keeps reshaping the role. Settings range from offices to remote, and quotas vary by employer.
It suits someone focused, accurate, and content with steady routine. If you need variety or creative work, the repetition can wear fast. But if there's satisfaction in clean, error-free work and a steady, low-drama job, the role tends to fit.
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Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
Roles with similar work and overlapping career paths
View all Technology roles →Information has to get into the system right the first time, and that's your job: keying, verifying, and processing data at volume. Where speed and zero-error precision coexist.
Median pay for a Data Entry Operator is about $40K nationally, with the field ranging roughly from $30K to $57K depending on experience, employer, and metro (BLS).
Core skills for this role include Reading Comprehension, Active Listening, Monitoring, Writing, and Time Management.
Most people in this role hold a high school diploma.
Employment in this field is projected to decline about 25.9% through 2034, with roughly 135,280 people working in it today (BLS).
Closely related roles include Data Operations Director, Claims Support Specialist, and Keying Machine Operator.
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