As of July 2026,
Criminal Justice and Law Enforcement Teachers, Postsecondary has an AI-exposure score of 63/100
(High exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.
Criminal Justice and Law Enforcement Teachers, Postsecondary
More exposed than 74% of the roles we track. Median pay ~US$76,590. About 1,200 projected openings a year (BLS 2024–34 - growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
How this role compares to similar Education roles
What this role usually involves
Teach courses in criminal justice, corrections, and law enforcement administration. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Criminal Justice and Law Enforcement Teachers, Postsecondary, SOC 25-1111.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Criminal Justice and Law Enforcement Teachers, Postsecondary tasks, by AI exposure
No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as augmentable (85%).
- Compile bibliographies of specialized materials for outside reading assignments.
- Compile, administer, and grade examinations, or assign this work to others.
- Advise students on academic and vocational curricula and on career issues.
- Collaborate with colleagues to address teaching and research issues.
We analyzed all 20 Criminal Justice and Law Enforcement Teachers, Postsecondary tasks - 17 augmentable and 3 durable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.
Compile bibliographies of specialized materials for outside reading assignments.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
AI was the most-cited reason for U.S. layoffs through mid-2026 - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
Instant delivery - your personalized report is ready about a minute after checkout.