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 →Transit and Railroad Police
Occupation · SOC 33-3052.00
Protect and police railroad and transit property, employees, or passengers.
Also called: Patrolman · Railroad Police · Railroad Police Officer · Transit Police Officer · Law Enforcement Officer · Patrol Man · Patrol Officer · Police Captain · Police Specialist · Canine Officer (K-9 Officer) · Field Training Advisor · Field Training Agent
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-33-3052-00/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.
- About average employment outlook (+3.0% by 2034)
- 200 openings/yr
- Low AI exposure
- Median pay $82,320/yr
- Work is mostly on-site (not teleworkable)
29th-percentile task overlap — yet about 200 openings a year (+3% 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 | 25th | -0.8 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 39th | 0.4 | |
| AI assistant applicability (Microsoft) Low | 25th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.2), and including AI-powered software (γ 0.4). 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 0.6 · 49th percentile among occupations · Moderate
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.
| Prepare reports documenting investigation activities and results. | 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 | About average · +3.0% by 2034 |
| Projected annual openings | 200 |
| Employment 2024 → 2034 | 3,100 → 3,200 |
“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.
Transit and Railroad Police sits at the 14th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
14% mean task exposure (2025)
14th percentile of 427 placed occupations
−1 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Police Officers · 5412 | 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 14 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Prepare reports documenting investigation activities and results. Core · importance 4.3
- Monitor transit areas and conduct security checks to protect railroad properties, patrons, and employees. Core · importance 4.2
- Apprehend or remove trespassers or thieves from railroad property or coordinate with law enforcement agencies in apprehensions and removals. Core · importance 4.2
- Direct security activities at derailments, fires, floods, or strikes involving railroad property. Core · importance 4.1
- Patrol railroad yards, cars, stations, or other facilities to protect company property or shipments and to maintain order. Core · importance 4.1
- Investigate or direct investigations of freight theft, suspicious damage or loss of passengers' valuables, or other crimes on railroad property. Core · importance 4.1
- Examine credentials of unauthorized persons attempting to enter secured areas. Core · importance 4.0
- Enforce traffic laws regarding the transit system and reprimand individuals who violate them. Core · importance 3.9
- Provide training to the public or law enforcement personnel in railroad safety or security. Core · importance 3.8
- Direct or coordinate the daily activities or training of security staff. Supplemental · importance 3.7
- Interview neighbors, associates, or former employers of job applicants to verify personal references or to obtain work history data. Supplemental · importance 3.6
- Plan or implement special safety or preventive programs, such as fire or accident prevention. Core · importance 3.4
- Record and verify seal numbers from boxcars containing frequently pilfered items, such as cigarettes or liquor, to detect tampering. Supplemental
- Seal empty boxcars by twisting nails in door hasps, using nail twisters. Supplemental
Work activities
- Maintain surveillance of individuals or establishments.
- Enforce rules or regulations.
- Provide safety training.
- Patrol properties to maintain safety.
- Examine personal documentation to ensure that it is valid.
- Apprehend criminal suspects.
- Collaborate with law enforcement or security agencies to respond to incidents.
- Prepare investigation or incident reports.
- Investigate illegal or suspicious activities.
- Direct law enforcement activities.
- Direct security operations.
- Direct employee training programs.
- Interview people to obtain information about actions or status of individuals.
- Develop fire safety or prevention programs or plans.
- Direct fire fighting or prevention activities.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Public Safety and Security | 4.9 | |
| Law and Government | 4.7 | |
| English Language | 4.4 | |
| Customer and Personal Service | 4.1 | |
| Transportation | 3.7 | |
| Education and Training | 3.5 | |
| Geography | 3.5 | |
| Psychology | 3.5 | |
| Computers and Electronics | 3.5 | |
| Administration and Management | 3.5 | |
| Telecommunications | 3.5 |
Abilities
| Problem Sensitivity | 4.1 | |
| Oral Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Inductive Reasoning | 3.9 | |
| Speech Clarity | 3.9 | |
| Written Expression | 3.8 | |
| Deductive Reasoning | 3.8 | |
| Near Vision | 3.8 | |
| Far Vision | 3.8 | |
| Speech Recognition | 3.6 | |
| Written Comprehension | 3.4 | |
| Information Ordering | 3.4 | |
| Flexibility of Closure | 3.4 | |
| Selective Attention | 3.3 | |
| Speed of Closure | 3.1 | |
| Trunk Strength | 3.1 |
Essential skills
| Active Listening | 4.0 | |
| Speaking | 4.0 | |
| Critical Thinking | 3.9 | |
| Monitoring | 3.4 | |
| Writing | 3.3 | |
| Active Learning | 3.3 | |
| Reading Comprehension | 3.1 |
Transferable skills
| Complex Problem Solving | 3.8 | |
| Social Perceptiveness | 3.4 | |
| Coordination | 3.3 | |
| Judgment and Decision Making | 3.3 | |
| Negotiation | 3.1 | |
| Service Orientation | 3.1 |
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.
| Bachelor's Degree | 28.4% | |
| Some College Courses | 25.9% | |
| High School Diploma | 20.6% | |
| Post-Secondary Certificate | 13.8% | |
| Associate's Degree (or other 2-year degree) | 5.4% | |
| Master's Degree | 4.5% | |
| First Professional Degree | 1.4% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Work styles
| Dependability | 7.0 | |
| Attention to Detail | 6.0 | |
| Integrity | 5.0 | |
| Cautiousness | 4.0 | |
| Self-Control | 3.0 | |
| Stress Tolerance | 2.9 |
Interest areas
| Protective Service | 6.6 | |
| Law | 3.0 | |
| Transportation/Machine Operation | 2.7 | |
| Management/Administration | 2.5 | |
| Physical/Manual Labor | 2.5 |
Career interests (Holland / RIASEC)
| Realistic | 6.2 | |
| Conventional | 4.9 | |
| Enterprising | 3.2 | |
| Social | 2.5 | |
| Investigative | 2.3 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $58,370 |
| 25th percentile | $65,920 |
| Median (50th) | $82,320 |
| 75th percentile | $114,040 |
| 90th percentile | $141,870 |
| People employed | 3,000 |
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 |
|---|---|---|
| Transportation and Warehousing · Sector | 610 | $98,290 |
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 |
|---|---|---|
| Transportation and Warehousing · Sector | 4.24× | 610 |
Related occupations
Part of the Public Service & Safety career cluster.
- Police and Sheriff's Patrol Officers · 33-3051.00 Compare →
- Security Guards · 33-9032.00 Compare →
- First-Line Supervisors of Police and Detectives · 33-1012.00 Compare →
- First-Line Supervisors of Security Workers · 33-1091.00 Compare →
- Detectives and Criminal Investigators · 33-3021.00 Compare →
- Transportation Security Screeners · 33-9093.00 Compare →
- Customs and Border Protection Officers · 33-3051.04 Compare →
- Compliance Officers · 13-1041.00 Compare →
- Private Detectives and Investigators · 33-9021.00 Compare →
- Fire Inspectors and Investigators · 33-2021.00 Compare →
- Railroad Conductors and Yardmasters · 53-4031.00 Compare →
- Crossing Guards and Flaggers · 33-9091.00 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 Transit and Railroad Police — 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 14th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Transit and Railroad Police show 29th-percentile AI task overlap — and about 200 annual U.S. openings
- Transit and Railroad Police rank in the 29th percentile (Low 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 200 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 about average (+3%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $82,320, across about 3,000 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Transit and Railroad Police show 29th-percentile AI task overlap — and about 200 annual U.S. openings • Transit and Railroad Police rank in the 29th percentile (Low 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 200 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 about average (+3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $82,320, across about 3,000 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Transit and Railroad Police". https://singulariki.com/roles/role-33-3052-00 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
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- 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. "Transit and Railroad Police." 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-33-3052-00
APA
Singulariki. (2026). Transit and Railroad Police. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-3052-00
BibTeX
@misc{singulariki-role-33-3052-00,
title = {Transit and Railroad Police},
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-33-3052-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.