Office & Administration · Updated Aug 2026

Proofreaders and Copy Markers

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.

JVS 2.0.0-phase4b
AI Exposure
76/100
Very high

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
68/100
High

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence84/100
Task coverage89%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.High
81
Read corrected copies or proofs to ensure that all corrections have been made.High
81
Correct or record omissions, errors, or inconsistencies found.High
81
Typeset and measure dimensions, spacing, and positioning of page elements, such as copy and illustrations, to verify conformance to specifications, using printer's ruler or layout software.High
79
Route proofs with marked corrections to authors, editors, typists, or typesetters for correction or reprinting.High
81
Consult reference books or secure aid of readers to check references with rules of grammar and composition.High
81
Archive documents, conduct research, and read copy, using the internet and various computer programs.Medium
80
Consult with authors and editors regarding manuscript changes and suggestions.Medium
81
Compare information or figures on one record against same data on other records, or with original copy, to detect errors.High
39
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.81
  2. Read corrected copies or proofs to ensure that all corrections have been made.81
  3. Correct or record omissions, errors, or inconsistencies found.81
  4. Route proofs with marked corrections to authors, editors, typists, or typesetters for correction or reprinting.81
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Compare information or figures on one record against same data on other records, or with original copy, to detect errors.01
  2. Typeset and measure dimensions, spacing, and positioning of page elements, such as copy and illustrations, to verify conformance to specifications, using printer's ruler or layout software.02
  3. Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.03
  4. Read corrected copies or proofs to ensure that all corrections have been made.04
  5. Correct or record omissions, errors, or inconsistencies found.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

See all rankings →
Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency63
Physical dependency32
Adoption pressure57
Labour-market resilience43
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence84/100
CalculatedAug 21, 2026
Read methodology →