Read transcript or proof type setup to detect and mark for correction any grammatical, typographical, or compositional errors. Includes proofreaders of Braille.
U.S. Workers
5,160
Median Salary
$49,210
10-Year Growth
-0.6%
Annual Openings
1,900
Typical entry: Bachelor's degree
11 of 11 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.
AI: Fully automatable - AI and proofreading tools can detect errors and generate standard printers' marks or equivalent digital markup reliably for routine material.
Read corrected copies or proofs to ensure that all corrections have been made.
AI: Fully automatable - Automated comparison tools and AI can read corrected proofs and verify that marked corrections have been applied by comparing versions.
Compare information or figures on one record against same data on other records, or with original copy, to detect errors.
AI: Fully automatable - Record and figure reconciliation is a structured task that AI/RPA systems can accurately perform by comparing data across sources.
Route proofs with marked corrections to authors, editors, typists, or typesetters for correction or reprinting.
AI: Fully automatable - Routing proofs and notifications is a workflow task readily automated by document-management systems and AI-powered routing rules.
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.
AI: Fully automatable - AI integrated with layout software can calculate and apply precise dimensions, spacing, and positioning programmatically, replicating what a human would do with a ruler in digital workflows.
Archive documents, conduct research, and read copy, using the internet and various computer programs.
AI: Fully automatable - Archiving, researching, and reading copy using internet resources and software can be largely automated with existing tools and AI integrations.
Write original content such as headlines, cutlines, captions, and cover copy.
AI: Fully automatable - By 2025 LLMs reliably generate original short-form copy (headlines, captions, cover lines) at scale, though human editing may be used for brand voice and factual checks.
Read proof sheets aloud, calling out punctuation marks and spelling unusual words and proper names.
AI: Fully automatable - Text-to-speech systems and automated proofreading tools can read proofs aloud and explicitly call out punctuation and spell or flag unusual words and names.
Correct or record omissions, errors, or inconsistencies found.
AI: Partial - AI can correct many straightforward omissions and inconsistencies and log issues, but complex or interpretive corrections still often require human judgment.
Consult reference books or secure aid of readers to check references with rules of grammar and composition.
AI: Partial - AI can consult reference works and apply grammar/composition rules, but securing external readers or resolving ambiguous editorial questions still often needs humans.
Consult with authors and editors regarding manuscript changes and suggestions.
AI: Partial - AI can draft suggested changes and facilitate communication, but substantive consultative discussion and negotiation with authors/editors remains partially human-dependent.