Verify accuracy of data.

Verify accuracy of data. is a detailed work activity in O*NET — a concrete unit of work shared across 9 occupations and seen in 12 occupation-specific tasks. It rolls up into the broader work activity Evaluate the quality or accuracy of data. in Processing Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 12 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 12 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 2 of these tasks, with a mean mapped-usage share of 0.011% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Verify facts, dates, and statistics, using standard reference sources. · Editors · importance 4.5 · exposure with tools
• Verify scoring calculations before competition winners are announced. · Umpires, Referees, and Other Sports Officials · importance 4.4 · direct LLM exposure
• Check translations of technical terms and terminology to ensure that they are accurate and remain consistent throughout translation revisions. · Interpreters and Translators · importance 4.3 · direct LLM exposure
• Check original texts or confer with authors to ensure that translations retain the content, meaning, and feeling of the original material. · Interpreters and Translators · importance 4.3 · direct LLM exposure
• Verify readings in cases where consumption appears to be abnormal, and record possible reasons for fluctuations. · Meter Readers, Utilities · importance 4.2 · exposure with tools
• Verify integrity and accuracy of data contained in remote sensing image analysis systems. · Remote Sensing Technicians · importance 4.2 · exposure with tools
• Verify key numbers and time codes on materials. · Film and Video Editors · importance 4.2 · exposure with tools
• Verify credentials of participants in sporting events, and make other qualifying determinations, such as starting order or handicap number. · Umpires, Referees, and Other Sports Officials · importance 4.1 · exposure with tools
• Verify the accuracy and validity of data entered in databases, correcting any errors. · Social Science Research Assistants · importance 4.0 · direct LLM exposure
• Review forensic analysts' reports for technical merit. · Forensic Science Technicians · importance 4.0 · exposure with tools
• Review data from contract laboratories to ensure accuracy and regulatory compliance. · Quality Control Analysts · importance 3.5 · exposure with tools
• Review information about programs and schedules to ensure accuracy and provide such information to local media outlets. · Media Programming Directors · importance 3.3 · exposure with tools

Occupations that perform this

• Editors
• Umpires, Referees, and Other Sports Officials
• Interpreters and Translators
• Meter Readers, Utilities
• Remote Sensing Technicians
• Film and Video Editors
• Social Science Research Assistants
• Forensic Science Technicians
• Media Programming Directors

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-verify-accuracy-of-data,
  title  = {Verify accuracy of data.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/verify-accuracy-of-data}
}