Data Verification Clerks
Office & Administrative SupportAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.671
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.70
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 0% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 6 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Compile, sort and verify the accuracy of data before it is entered.43-9021 | 0.013865.0 |
Read source documents such as canceled checks, sales reports, or bills, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.43-9021 | 0.004219.6 |
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.43-9021 | 0.003315.3 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Compile, sort, and verify the accuracy of data before it is entered.O*NET Task ID 11402 | 1.0 |
Compare data with source documents, or re-enter data in verification format to detect errors.O*NET Task ID 11403 | 1.0 |
Store completed documents in appropriate locations.O*NET Task ID 11404 | 1.0 |
Locate and correct data entry errors, or report them to supervisors.O*NET Task ID 11405 | 1.0 |
Maintain logs of activities and completed work.O*NET Task ID 11406 | 1.0 |
Select materials needed to complete work assignments.O*NET Task ID 11407 | 1.0 |
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.O*NET Task ID 11409 | 1.0 |
Read source documents such as canceled checks, sales reports, or bills, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.O*NET Task ID 11401 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Recent Changes Related to This Occupation
Mar 2026: EIG (Mar 2026): data entry keyers made up only 0.2% of employed 22-25 year-olds in 2018-2021, so automating data entry cannot explain much of the weakness in youth employment.
[Source: EIG: AI and Young-Adult Jobs (March 2026)]Jan 2026: Anthropic Economic Index report (Jan 2026): data entry keyers have one of the highest "effective AI coverage" scores. Only two of their nine tasks appear in Claude usage, but their largest task, reading and entering data from source documents, has high success rates with Claude.
[Source: Anthropic Economic Index (Jan 2026)]May 2025: ILO global analysis confirms clerical data processing among highest AI exposure occupations. Global automation score slightly decreased from 0.30 to 0.29.
[Source: ILO GenAI Index 2025]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.