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 →Occupation · SOC 53-4022.00
Operate or monitor railroad track switches or locomotive instruments. May couple or uncouple rolling stock to make up or break up trains. Watch for and relay traffic signals. May inspect couplings, air hoses, journal boxes, and hand brakes. May watch for dragging equipment or obstacles on rights-of-way.
Also called: Brakeman · Locomotive Switch Operator · Railroad Switchman · Trainman · Carman · Fireman · Railroad Brakeman · Terminal Carman · Air Brake Operator · Air Hose Coupler · Area Brakeman · Brake Holder
Job family: Transportation and Material Moving Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-53-4022-00/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
14th-percentile task overlap — yet about 1,000 openings a year (+1% projected, BLS) . What exposure means →
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.
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 |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Low | 28th | 0.2 | |
| AI assistant applicability (Microsoft) Low | 6th | 0.0 |
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 0.2). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +1.0% by 2034 |
| Projected annual openings | 1,000 |
| Employment 2024 → 2034 | 11,000 → 11,100 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 28 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Transportation | 3.9 | |
| Public Safety and Security | 3.5 | |
| Mechanical | 3.3 | |
| English Language | 3.2 |
| Control Precision | 3.8 | |
| Near Vision | 3.8 | |
| Oral Comprehension | 3.6 | |
| Arm-Hand Steadiness | 3.6 | |
| Far Vision | 3.6 | |
| Problem Sensitivity | 3.5 | |
| Perceptual Speed | 3.5 | |
| Reaction Time | 3.5 | |
| Manual Dexterity | 3.4 | |
| Multilimb Coordination | 3.4 | |
| Response Orientation | 3.4 | |
| Rate Control | 3.4 | |
| Speech Recognition | 3.4 | |
| Written Comprehension | 3.3 | |
| Oral Expression | 3.3 | |
| Deductive Reasoning | 3.3 | |
| Inductive Reasoning | 3.3 | |
| Information Ordering | 3.3 | |
| Speech Clarity | 3.3 | |
| Flexibility of Closure | 3.1 | |
| Visual Color Discrimination | 3.1 | |
| Auditory Attention | 3.1 | |
| Visualization | 3.0 | |
| Selective Attention | 3.0 | |
| Time Sharing | 3.0 | |
| Finger Dexterity | 3.0 |
| Monitoring | 3.5 | |
| Active Listening | 3.3 | |
| Critical Thinking | 3.3 | |
| Reading Comprehension | 3.1 |
| Operations Monitoring | 3.4 | |
| Operation and Control | 3.3 | |
| Social Perceptiveness | 3.0 | |
| Coordination | 3.0 | |
| Judgment and Decision Making | 3.0 | |
| Time Management | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Google Android | Operating system software | Hot technology In demand |
| Microsoft Office software | Office suite software | Hot technology In demand |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Electronic train management system software | Data base user interface and query software | |
| Electronic train management systems ETMS | Expert system software | |
| Route mapping software | Route navigation software | |
| Time tracking software | Time accounting software |
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.
What to study: Transportation and Materials Moving . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 7.0 | |
| Conventional | 4.3 | |
| Investigative | 2.1 |
| Transportation/Machine Operation | 6.5 | |
| Physical/Manual Labor | 5.6 | |
| Mechanics/Electronics | 4.0 | |
| Engineering | 2.5 | |
| Protective Service | 1.5 |
| Dependability | 3.0 | |
| Cautiousness | 2.5 | |
| Attention to Detail | 2.3 | |
| Integrity | 1.9 | |
| Stress Tolerance | 1.9 | |
| Self-Control | 1.7 | |
| Cooperation | 1.6 | |
| Perseverance | 1.5 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $43,750 |
| 25th percentile | $51,730 |
| Median (50th) | $65,480 |
| 75th percentile | $70,130 |
| 90th percentile | $80,840 |
| People employed | 12,460 |
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 | 11,640 | $65,370 |
| Manufacturing · Sector | 50 | $50,530 |
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 | 19.49× | 11,640 |
Part of the Supply Chain & Transportation career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Railroad Brake, Signal, and Switch Operators and Locomotive Firers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Railroad Brake, Signal, and Switch Operators and Locomotive Firers show 14th-percentile AI task overlap — and about 1,000 annual U.S. openings
Railroad Brake, Signal, and Switch Operators and Locomotive Firers show 14th-percentile AI task overlap — and about 1,000 annual U.S. openings • Railroad Brake, Signal, and Switch Operators and Locomotive Firers rank in the 14th 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 1,000 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 (+1%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $65,480, across about 12,460 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Railroad Brake, Signal, and Switch Operators and Locomotive Firers". https://singulariki.com/roles/role-53-4022-00 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.
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.
Singulariki. "Railroad Brake, Signal, and Switch Operators and Locomotive Firers." 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. Accessed June 7, 2026. https://singulariki.com/roles/role-53-4022-00
Singulariki. (2026). Railroad Brake, Signal, and Switch Operators and Locomotive Firers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-4022-00
@misc{singulariki-role-53-4022-00,
title = {Railroad Brake, Signal, and Switch Operators and Locomotive Firers},
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. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-53-4022-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.