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PTEN
Career directoryUnited States / SOC 43-9021
Business · A PICTURE OF THE OCCUPATION

Data Entry Keyers

Organize information from documents and enter it into systems. Verification and error handling are part of the role, beyond typing.

Sources checked September 10, 2026
Observed AI exposure67.1%Anthropic · March 2026 study
Employment projection-25.5%2025–2035
Education typically neededHigh school diploma or equivalentBLS · 2025
01 / Overview

What the work looks like

  1. 01

    Locate and correct data entry errors, or report them to supervisors.

  2. 02

    Compile, sort, and verify the accuracy of data before it is entered.

  3. 03

    Compare data with source documents, or re-enter data in verification format to detect errors.

  4. 04

    Store completed documents in appropriate locations.

  5. 05

    Select materials needed to complete work assignments.

An example of an output

An organized dataset with identified errors and traceability to original documents.

Editorial example, not a reported worker interview. Tools vary by employer.

Work environment

Administrative operations handling many documents. Repetitive work with attention to quality standards.

O*NET® 31.0 ↗
02 / BLS

Pay & demand

Mean annual pay$43,310
Median annual pay$41,340

Mean is the arithmetic average; median is the midpoint of the wage distribution. National occupational figures are not starting-salary promises.

10th percentile$31,200
90th percentile$58,790

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
People employed in 2025131,800
Projected openings per year7,700

Includes replacement needs over 2025–2035. These are projections, not open job advertisements.

BLS · 2025–2035
03 / AI

AI & your work

Where AI can help

Field extraction and transfer between systems can be automated.

What still needs judgment

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
You can also develop within this occupation

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.

04 / Typical entry education

What entry usually requires

Education typically needed
High school diploma or equivalent
Related experience typically needed
None specified in BLS classification
Typical on-the-job training
Short-term on-the-job training

Typical requirements in BLS data, not universal hiring rules. Verify the employer’s requirements and any applicable credential or license.

BLS · 2025 ↗

Skills to build on

Accuracyinformation classificationcheckingorganization

Tools you may encounter

Spreadsheets · forms · record systems · validation tools

Editorial example, not a reported worker interview. Tools vary by employer.

05 / 2 paths to explore

Where you could go next

These are researched starting points, not personalized recommendations or promises of lower AI exposure. Check the destination’s requirements and your own circumstances.

06 / Explore the work before committing

Explore the work before committing

1

Try a practical task

Use a public dataset and create checks for duplicates, missing fields and unusual values.

2

Read real job requirements

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
3

Check your assumptions with someone doing the work

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 ↗

Sources & data notes

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 ↗