Where AI can help
Field extraction and transfer between systems can be automated.
US labor-market data in USD. Changing language does not change the country.
✓ United StatesBrazil — data in preparationBrazil is not available yet. We will publish a local dataset after validating CBO mapping and remuneration coverage.
Organize information from documents and enter it into systems. Verification and error handling are part of the role, beyond typing.
Locate and correct data entry errors, or report them to supervisors.
Compile, sort, and verify the accuracy of data before it is entered.
Compare data with source documents, or re-enter data in verification format to detect errors.
Store completed documents in appropriate locations.
Select materials needed to complete work assignments.
An organized dataset with identified errors and traceability to original documents.
Editorial example, not a reported worker interview. Tools vary by employer.Administrative operations handling many documents. Repetitive work with attention to quality standards.
O*NET® 31.0 ↗Mean is the arithmetic average; median is the midpoint of the wage distribution. National occupational figures are not starting-salary promises.
Percentiles describe the workforce distribution, not junior and senior salary bands. Excludes self-employed workers; see the source for coverage.
BLS · May 2025 · USD/year ↗Includes replacement needs over 2025–2035. These are projections, not open job advertisements.
BLS · 2025–2035 ↗Field extraction and transfer between systems can be automated.
Exceptions, ambiguous records and acceptance criteria need attention before data is used.
The task discussion is editorial interpretation. Only the exposure percentage is reproduced from the study; we do not assign percentages to individual tasks.
Anthropic · March 2026 study ↗Use the exercise below to practice a real task, check AI outputs and identify where you need more depth. A career change is one option, not a requirement.
Use a public dataset and create checks for duplicates, missing fields and unusual values.
Typical requirements in BLS data, not universal hiring rules. Verify the employer’s requirements and any applicable credential or license.
BLS · 2025 ↗Spreadsheets · forms · record systems · validation tools
Editorial example, not a reported worker interview. Tools vary by employer.
These are researched starting points, not personalized recommendations or promises of lower AI exposure. Check the destination’s requirements and your own circumstances.
Applies record accuracy to financial transaction checks.
Employment is also projected to decline. Consider the work fit, not guaranteed protection.
Record experience can support health information organization.
Typical education includes a postsecondary award; clinical records require specific preparation.
Use a public dataset and create checks for duplicates, missing fields and unusual values.
Use the official occupation title below to search current listings. Check duties, location, experience and compensation. External search results have not been verified as active by this directory.
Data Entry KeyersSearch external job listings ↗Ask which tasks take the most time, how AI changed the routine and what evidence of skill helped them enter. Compare their experience with the published data.
My Next Move ↗Occupational descriptions adapt the O*NET® 31.0 Database, U.S. Department of Labor, Employment and Training Administration, under CC BY 4.0. Is my job toast? translated, shortened and supplemented the material. USDOL/ETA has not approved or endorsed these changes. CC BY 4.0 ↗