# First-Line Supervisors of Correctional Officers

> Directly supervise and coordinate activities of correctional officers and jailers.

- **SOC code:** 33-1011.00
- **Canonical URL:** https://singulariki.com/roles/role-33-1011-00
- **Also known as:** Correctional Officer Captain, Correctional Supervisor, Commissary Manager, Correction Officer Supervisor, Correction Warden, Correctional Captain, Correctional Case Records Supervisor, Correctional Housing Unit Manager
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Take, receive, or check periodic inmate counts.
- Maintain order, discipline, and security within assigned areas in accordance with relevant rules, regulations, policies, and laws.
- Maintain knowledge of, comply with, and enforce all institutional policies, rules, procedures, and regulations.
- Respond to emergencies, such as escapes.
- Supervise and direct the work of correctional officers to ensure the safe custody, discipline, and welfare of inmates.
- Supervise or perform searches of inmates or their quarters to locate contraband items.
- Restrain, secure, or control offenders, using chemical agents, firearms, or other weapons of force as necessary.
- Monitor behavior of subordinates to ensure alert, courteous, and professional behavior toward inmates, parolees, fellow employees, visitors, and the public.
- Carry injured offenders or employees to safety and provide emergency first aid when necessary.
- Complete administrative paperwork or supervise the preparation or maintenance of records, forms, or reports.
- Supervise activities, such as searches, shakedowns, riot control, or institutional tours.
- Conduct roll calls of correctional officers.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Public Safety and Security _(knowledge)_
- Law and Government _(knowledge)_
- Administration and Management _(knowledge)_
- Psychology _(knowledge)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Monitoring _(essential_skill)_
- Social Perceptiveness _(transferable_skill)_
- Coordination _(transferable_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_

**Skills in demand:**
- Psychology _(Specialized Skill)_
- English Language _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Writing _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Negotiation _(Common Skill)_
- Information Ordering _(Specialized Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- 3M Electronic Monitoring
- Email software
- Guardian RFID
- Jail management software

## AI exposure & outlook

- **AI task-overlap index:** 34th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 33rd percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 35th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 40th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 16th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -2.8% growth (Declining); 4.3k annual openings; 57.1k → 55.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $76,310; 53,390 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-33-1011-00_