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First-Line Supervisors of Correctional Officers

Occupation · SOC 33-1011.00

Directly supervise and coordinate activities of correctional officers and jailers.

Also called: Correctional Officer Captain · Correctional Supervisor · Commissary Manager · Correction Officer Supervisor · Correction Warden · Correctional Captain · Correctional Case Records Supervisor · Correctional Housing Unit Manager · Correctional Program Supervisor · Corrections Lieutenant · Detention Director · Detention Supervisor

Job family: Protective Service Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-33-1011-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

34th-percentile task overlap — yet about 4,300 openings a year (-2.8% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Low 33rd -0.6
LLM task exposure, γ (OpenAI / Eloundou) Moderate 35th 0.3
AI assistant applicability (Microsoft) Moderate 40th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.3), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.0 · 16th percentile among occupations · Low

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Maintain knowledge of, comply with, and enforce all institutional policies, rules, procedures, and regulations. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -2.8% by 2034
Projected annual openings 4,300
Employment 2024 → 2034 57,100 → 55,500

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

14% mean task exposure (2025)
13th percentile of 427 placed occupations
+1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Prison Guards · 5413 14% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 23 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Public Safety and Security 4.8
Law and Government 4.4
Administration and Management 4.2
Psychology 4.1
English Language 4.0
Administrative 3.7
Computers and Electronics 3.6
Education and Training 3.6
Personnel and Human Resources 3.5
Customer and Personal Service 3.2
Sociology and Anthropology 3.2
Therapy and Counseling 3.2

Essential skills

Active Listening 4.0
Critical Thinking 4.0
Monitoring 4.0
Speaking 3.9
Reading Comprehension 3.8
Writing 3.5
Active Learning 3.3
Learning Strategies 3.1

Transferable skills

Social Perceptiveness 4.0
Coordination 4.0
Management of Personnel Resources 3.8
Persuasion 3.5
Negotiation 3.5
Complex Problem Solving 3.3
Time Management 3.3
Instructing 3.1

Abilities

Oral Comprehension 4.0
Oral Expression 4.0
Problem Sensitivity 4.0
Deductive Reasoning 4.0
Written Comprehension 3.9
Written Expression 3.8
Inductive Reasoning 3.8
Speech Clarity 3.6
Near Vision 3.5
Speech Recognition 3.5
Information Ordering 3.4
Far Vision 3.4

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Office software Office suite software Hot technology In demand
Microsoft Access Data base user interface and query software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
3M Electronic Monitoring Data base user interface and query software
Email software Electronic mail software
Guardian RFID Data base user interface and query software
Jail management software Data base user interface and query software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

E-Mail 5.0
Telephone Conversations 4.9
Contact With Others 4.8
Health and Safety of Other Workers 4.8
Indoors, Environmentally Controlled 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.7
Frequency of Decision Making 4.7
Work With or Contribute to a Work Group or Team 4.7
Dealing With Unpleasant, Angry, or Discourteous People 4.6
Conflict Situations 4.5
Work Outcomes and Results of Other Workers 4.5
Impact of Decisions on Co-workers or Company Results 4.4
Dealing with Violent or Physically Aggressive People 4.3
Time Pressure 4.2
Freedom to Make Decisions 4.1
Written Letters and Memos 4.1
Coordinate or Lead Others in Accomplishing Work Activities 4.0
Physical Proximity 4.0
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.0
Public Speaking 4.0
Determine Tasks, Priorities and Goals 3.9
Exposed to Disease or Infections 3.8
Importance of Being Exact or Accurate 3.8
Importance of Repeating Same Tasks 3.6
Outdoors, Exposed to All Weather Conditions 3.6
Spend Time Walking or Running 3.5
Deal With External Customers or the Public in General 3.4
Spend Time Standing 3.3
Consequence of Error 3.3
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.2
Exposed to Contaminants 3.2
Exposed to Minor Burns, Cuts, Bites, or Stings 3.1
Indoors, Not Environmentally Controlled 3.0
Level of Competition 3.0
Exposed to Very Hot or Cold Temperatures 2.9
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.8
In an Enclosed Vehicle or Operate Enclosed Equipment 2.7
Spend Time Sitting 2.6
Spend Time Making Repetitive Motions 2.4
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.4

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Homeland Security, Law Enforcement, Firefighting and Related Protective Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 59.0%
Associate's Degree (or other 2-year degree) 22.9%
Bachelor's Degree 10.7%
Post-Secondary Certificate 5.2%
Some College Courses 2.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Dependability 9.0
Attention to Detail 8.0
Integrity 7.0
Cautiousness 6.0
Self-Control 5.0
Stress Tolerance 4.0
Perseverance 3.0

Interest areas

Protective Service 6.5
Management/Administration 5.9
Human Resources 3.3
Law 3.2
Social Service 2.7

Career interests (Holland / RIASEC)

Enterprising 6.3
Conventional 5.1
Social 4.5
Realistic 3.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$50k10th$57k25th$76kMedian$102k75th$125k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
57k202456k2034 (proj.)-2.8% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $50,340
25th percentile $56,890
Median (50th) $76,310
75th percentile $102,190
90th percentile $125,170
People employed 53,390

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Administrative and Support and Waste Management and Remediation Services · Sector 1,360 $68,800
Health Care and Social Assistance · Sector $64,990

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Administrative and Support and Waste Management and Remediation Services · Sector 0.43× 1,360

Part of the Public Service & Safety career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay First-Line Supervisors of Correctional Officers sits at the 34th percentile of AI task-overlap and the 65th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay First-Line Supervisors of Correctional Officers Correctional Officers and Jailers First-Line Supervisors of Police and Detectives Detectives and Criminal Investigators Social and Community Service Managers First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services Probation Officers and Correctional Treatment Specialists AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for First-Line Supervisors of Correctional Officers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

First-Line Supervisors of Correctional Officers show 34th-percentile AI task overlap — and about 4,300 annual U.S. openings

  • First-Line Supervisors of Correctional Officers rank in the 34th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 4,300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-2.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $76,310, across about 53,390 U.S. workers.BLS OEWS (May 2024)
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First-Line Supervisors of Correctional Officers show 34th-percentile AI task overlap — and about 4,300 annual U.S. openings

• First-Line Supervisors of Correctional Officers rank in the 34th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 4,300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-2.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $76,310, across about 53,390 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "First-Line Supervisors of Correctional Officers". https://singulariki.com/roles/role-33-1011-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "First-Line Supervisors of Correctional Officers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-33-1011-00

APA

Singulariki. (2026). First-Line Supervisors of Correctional Officers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-1011-00

BibTeX
@misc{singulariki-role-33-1011-00,
  title  = {First-Line Supervisors of Correctional Officers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-33-1011-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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