Headline risk
57%
Very High RiskProofreaders and copy markers
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Read transcript or proof type setup to detect and mark for correction any grammatical, typographical, or compositional errors. Excludes workers whose primary duty is editing copy. Includes proofreaders of braille.
Task evidence
100% weighted task match · 10% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 49,210
Employment 2024
12.0K
Projected Change (2024–34)
-0.6%
Openings (2024–34)
1.9K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Correct or record omissions, errors, or inconsistencies found. AI use: 0%
- 2. Consult reference books or secure aid of readers to check references with rules of grammar and composition. AI use: 0%
- 3. Compare information or figures on one record against same data on other records, or with original copy, to detect errors. AI use: 0%
- 4. Read corrected copies or proofs to ensure that all corrections have been made. AI use: 0%
- 5. Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks. AI use: 84%
- 6. Route proofs with marked corrections to authors, editors, typists, or typesetters for correction or reprinting. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 44.7 · 1.8M employed
Under 25: 5% · 25–54: 68% · 55+: 27%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
major_group_fallback · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.