# Data Entry Keyers

> Operate data entry device, such as keyboard or photo composing perforator. Duties may include verifying data and preparing materials for printing.

- **SOC code:** 43-9021.00
- **Canonical URL:** https://singulariki.com/roles/role-43-9021-00
- **Also known as:** Data Capture Specialist, Data Entry Clerk, Data Entry Operator, Data Transcriber, Data Entry Machine Operator, Data Entry Specialist, Records Clerk, Underwriting Support Specialist
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- 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.
- 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.
- Store completed documents in appropriate locations.
- Select materials needed to complete work assignments.
- Maintain logs of activities and completed work.
- Load machines with required input or output media, such as paper, cards, disks, tape, or Braille media.
- Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Administrative _(knowledge)_
- Written Comprehension _(ability)_
- Near Vision _(ability)_
- Finger Dexterity _(ability)_
- Reading Comprehension _(essential_skill)_
- Customer and Personal Service _(knowledge)_
- Law and Government _(knowledge)_
- Oral Comprehension _(ability)_
- Information Ordering _(ability)_
- Perceptual Speed _(ability)_
- Speech Recognition _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Time Management _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- Google Docs _(hot technology)_
- Intuit QuickBooks _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- SAP software _(hot technology)_
- Blackbaud The Raiser's Edge
- Data entry software
- Database software

## AI exposure & outlook

- **AI task-overlap index:** 78th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 57th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 83rd percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 92nd percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 99th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -25.9% growth (Declining); 9.5k annual openings; 141.6k → 104.9k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $39,850; 135,280 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 64% automation, 26% augmentation (usage-weighted).
- **Autonomy median:** 2.5 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Compile, sort and verify the accuracy of data before it is entered. _(1.7% of measured AI use; directive)_
- 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. _(0.5% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me compile, sort and verify the accuracy of data before it is entered.
- Help me 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.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-43-9021-00_