Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Bailiffs
Occupation · SOC 33-3011.00
Maintain order in courts of law.
Also called: Bailiff · Court Bailiff · Court Officer · Court Security Officer · Court Constable · Court Deputy · Deputy Bailiff · Deputy Court Services Sheriff · Security Officer · Armed Bailiff · Bailiff Deputy · City Bailiff
Job family: Protective Service Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-33-3011-00/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.
Market signal
Independent published positions, read together — not a forecast.
- Declining employment outlook (-2.2% by 2034)
- 1,800 openings/yr
- High AI exposure
- Median pay $57,050/yr
- Work is mostly on-site (not teleworkable)
35th-percentile task overlap — yet about 1,800 openings a year (-2.2% 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.) Moderate | 35th | -0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 6th | 0.0 | |
| AI assistant applicability (Microsoft) High | 70th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). 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 0.4 · 41st percentile among occupations · Moderate
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 · -2.2% by 2034 |
| Projected annual openings | 1,800 |
| Employment 2024 → 2034 | 19,000 → 18,600 |
“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.
Bailiffs sits at the 76th percentile of 427
occupations on the global GenAI task-exposure gradient
. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
39% mean task exposure (2025)
76th percentile of 427 placed occupations
+0 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Legal and Related Associate Professionals · 3411 | 39% | Gradient 1 |
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 15 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Screen persons entering courthouse using magnetometers, x-ray machines, and other devices to collect and retain unauthorized firearms and other contraband. Core · importance 4.7
- Escort prisoners to and from courthouse and maintain custody of prisoners during court proceedings. Core · importance 4.6
- Maintain order in courtroom during trial and guard jury from outside contact. Core · importance 4.5
- Provide security by patrolling interior and exterior of courthouse and escorting judges and other court employees. Core · importance 4.4
- Guard lodging of sequestered jury. Core · importance 4.4
- Enforce courtroom rules of behavior and warn persons not to smoke or disturb court procedure. Core · importance 4.4
- Arrest persons in court when arrest warrants have been issued. Core · importance 4.3
- Report need for police or medical assistance to sheriff's office. Core · importance 4.2
- Maintain court docket. Supplemental · importance 4.1
- Check courtroom for security and cleanliness and assure availability of sundry supplies, such as notepads, for use by judge, jurors, and attorneys. Core · importance 4.1
- Stop people from entering courtroom while judge charges jury. Core · importance 4.0
- Screen, control, and handle evidence and exhibits during court proceedings. Core · importance 4.0
- Provide assistance to the public, such as directions to court offices. Core · importance 4.0
- Announce entrance of judge. Core · importance 3.9
- Provide jury escort to restaurant and other areas outside of courtroom to prevent jury contact with public. Supplemental · importance 3.8
Work activities
- Confiscate prohibited or dangerous items.
- Search individuals for illegal or dangerous items.
- Patrol properties to maintain safety.
- Provide security escorts for officials, jury members, or other individuals.
- Inspect facilities for cleanliness.
- Maintain inventories of materials, equipment, or products.
- Process forensic or legal evidence in accordance with procedures.
- Escort prisoners to courtrooms, prisons, or other facilities.
- Document legal or regulatory information.
- Maintain public order or security.
- Guard facilities.
- Warn individuals about rule violations or safety concerns.
- Request emergency personnel.
- Inform viewers, listeners, or audiences.
- Prevent unauthorized individuals from entering restricted areas.
- Detain suspects or witnesses.
- Present information to the public.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Transferable skills
| Social Perceptiveness | 4.0 | |
| Judgment and Decision Making | 3.3 | |
| Time Management | 3.0 | |
| Coordination | 2.9 | |
| Persuasion | 2.9 | |
| Service Orientation | 2.9 | |
| Complex Problem Solving | 2.9 | |
| Negotiation | 2.8 |
Abilities
| Problem Sensitivity | 3.9 | |
| Oral Expression | 3.8 | |
| Selective Attention | 3.8 | |
| Speech Clarity | 3.8 | |
| Oral Comprehension | 3.6 | |
| Speech Recognition | 3.6 | |
| Near Vision | 3.4 | |
| Deductive Reasoning | 3.1 | |
| Written Comprehension | 3.0 | |
| Inductive Reasoning | 3.0 | |
| Information Ordering | 3.0 | |
| Static Strength | 3.0 | |
| Trunk Strength | 3.0 | |
| Far Vision | 2.9 | |
| Written Expression | 2.8 | |
| Time Sharing | 2.6 | |
| Reaction Time | 2.5 |
Essential skills
| Speaking | 3.4 | |
| Monitoring | 3.4 | |
| Active Listening | 3.3 | |
| Critical Thinking | 3.0 | |
| Reading Comprehension | 2.9 | |
| Active Learning | 2.8 |
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
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.
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 | 39.9% | |
| Post-Secondary Certificate | 20.8% | |
| Less than a High School Diploma | 5.9% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Protective Service | 6.1 | |
| Law | 4.0 | |
| Physical/Manual Labor | 2.6 | |
| Management/Administration | 1.8 | |
| Personal Service | 1.8 |
Work styles
| Dependability | 5.0 | |
| Integrity | 4.0 | |
| Cautiousness | 3.0 | |
| Self-Control | 2.5 | |
| Stress Tolerance | 2.3 | |
| Attention to Detail | 1.9 |
Career interests (Holland / RIASEC)
| Realistic | 4.8 | |
| Conventional | 4.5 | |
| Enterprising | 4.0 | |
| Social | 3.3 | |
| Investigative | 2.2 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $32,950 |
| 25th percentile | $43,420 |
| Median (50th) | $57,050 |
| 75th percentile | $77,880 |
| 90th percentile | $93,950 |
| People employed | 16,910 |
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 | — | $70,250 |
Related occupations
Part of the Public Service & Safety career cluster.
- Police and Sheriff's Patrol Officers · 33-3051.00 Compare →
- Correctional Officers and Jailers · 33-3012.00 Compare →
- First-Line Supervisors of Police and Detectives · 33-1012.00 Compare →
- Detectives and Criminal Investigators · 33-3021.00 Compare →
- First-Line Supervisors of Correctional Officers · 33-1011.00 Compare →
- Probation Officers and Correctional Treatment Specialists · 21-1092.00 Compare →
- Transit and Railroad Police · 33-3052.00 Compare →
- First-Line Supervisors of Security Workers · 33-1091.00 Compare →
- Security Guards · 33-9032.00 Compare →
- Customs and Border Protection Officers · 33-3051.04 Compare →
- Judges, Magistrate Judges, and Magistrates · 23-1023.00 Compare →
- Judicial Law Clerks · 23-1012.00 Compare →
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 Bailiffs — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Homeland Security, Law Enforcement, Firefighting and Related Protective Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 76th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Bailiffs show 35th-percentile AI task overlap — and about 1,800 annual U.S. openings
- Bailiffs rank in the 35th 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 1,800 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 (-2.2%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $57,050, across about 16,910 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Bailiffs show 35th-percentile AI task overlap — and about 1,800 annual U.S. openings • Bailiffs rank in the 35th 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 1,800 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 (-2.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $57,050, across about 16,910 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Bailiffs". https://singulariki.com/roles/role-33-3011-00 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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Bailiffs." 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; 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-33-3011-00
APA
Singulariki. (2026). Bailiffs. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-3011-00
BibTeX
@misc{singulariki-role-33-3011-00,
title = {Bailiffs},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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-33-3011-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.