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 →Rail Yard Engineers, Dinkey Operators, and Hostlers
Occupation · SOC 53-4013.00
Drive switching or other locomotive or dinkey engines within railroad yard, industrial plant, quarry, construction project, or similar location.
Also called: Engineer · Railcar Switcher · Railroad Engineer · Switchman · Carman · Hostler · Rail Yard Engineer · Yard Engineer · Car Barn Laborer · Car Mover · Coal Tram Driver · Coal Trammer
Job family: Transportation and Material Moving Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-53-4013-00/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 (+0.3% by 2034)
- 200 openings/yr
- Moderate AI exposure
- Median pay $58,030/yr
- Work is mostly on-site (not teleworkable)
- 2013 flagged this for computerization (81st); today's AI task-overlap is comparatively low (29th)
29th-percentile task overlap — yet about 200 openings a year (+0.3% 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 | 24th | -0.8 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 25th | 0.2 | |
| AI assistant applicability (Microsoft) Moderate | 44th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), 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.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.
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 0.9 · 81st percentile among occupations · High
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.
| Receive, relay, and act upon instructions and inquiries from train operations and customer service center personnel. | 0.5% |
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 · +0.3% by 2034 |
| Projected annual openings | 200 |
| Employment 2024 → 2034 | 3,100 → 3,100 |
“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.
Rail Yard Engineers, Dinkey Operators, and Hostlers sits at the 33rd 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.
20% mean task exposure (2025)
33rd percentile of 427 placed occupations
−6 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Locomotive Engine Drivers · 8311 | 20% | 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 25 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Observe and respond to wayside and cab signals, including color light signals, position signals, torpedoes, flags, and hot box detectors. Core · importance 4.6
- Inspect engines before and after use to ensure proper operation. Core · importance 4.6
- Apply and release hand brakes. Core · importance 4.5
- Confer with conductors and other workers via radiotelephones or computers to exchange switching information. Core · importance 4.5
- Signal crew members for movement of engines or trains, using lanterns, hand signals, radios, or telephones. Core · importance 4.5
- Inspect track for defects such as broken rails and switch malfunctions. Core · importance 4.5
- Couple and uncouple air hoses and electrical connections between cars. Core · importance 4.5
- Observe water levels and oil, air, and steam pressure gauges to ensure proper operation of equipment. Core · importance 4.5
- Drive engines within railroad yards or other establishments to couple, uncouple, or switch railroad cars. Core · importance 4.4
- Inspect the condition of stationary trains, rolling stock, and equipment. Core · importance 4.4
- Read switching instructions and daily car schedules to determine work to be performed, or receive orders from yard conductors. Core · importance 4.3
- Receive, relay, and act upon instructions and inquiries from train operations and customer service center personnel. Core · importance 4.3
- Spot cars for loading and unloading at customer locations. Core · importance 4.2
- Operate track switches, derails, automatic switches, and retarders to change routing of train or cars. Core · importance 4.2
- Ride on moving cars by holding onto grab irons and standing on ladder steps. Supplemental · importance 4.2
- Report arrival and departure times, train delays, work order completion, and time on duty. Core · importance 4.0
- Perform routine repair and maintenance duties. Core · importance 4.0
- Drive locomotives to and from various stations in roundhouses to have locomotives cleaned, serviced, repaired, or supplied. Core · importance 4.0
- Pull knuckles to open them for coupling. Core · importance 3.9
- Record numbers of cars available, numbers of cars sent to repair stations, and types of service needed. Supplemental · importance 3.8
- Provide assistance in aligning drawbars, using available equipment to lift, pull, or push on the drawbars. Core · importance 3.7
- Operate flatcars equipped with derricks or railcars to transport personnel or equipment. Supplemental · importance 3.6
- Provide assistance in the installation or repair of rails and ties. Supplemental · importance 3.5
- Operate and control dinkey engines to transport and shunt cars at industrial or mine sites. Supplemental
- Operate switching diesel engines to switch railroad cars, using remote controls. Supplemental
Work activities
- Communicate with others to coordinate vehicle movement.
- Signal others to coordinate vehicle movement.
- Monitor traffic signals.
- Operate locomotives or other rail vehicles.
- Inspect locomotives or other railroad equipment.
- Review work orders or schedules to determine operations or procedures.
- Receive information or instructions for performing work assignments.
- Measure the level or depth of water or other liquids.
- Monitor vehicle movement or location.
- Climb ladders or vehicles to perform duties.
- Control equipment that regulates vehicle traffic.
- Connect hoses to equipment or machinery.
- Connect cables or electrical lines.
- Position material handling equipment.
- Record operational or production data.
- Record service or repair activities.
- Maintain locomotives or other rail equipment in good working condition.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Transportation | 4.2 | |
| Public Safety and Security | 3.6 | |
| Administration and Management | 3.2 | |
| Mechanical | 3.1 |
Abilities
| Oral Comprehension | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Far Vision | 3.9 | |
| Control Precision | 3.8 | |
| Reaction Time | 3.8 | |
| Oral Expression | 3.6 | |
| Response Orientation | 3.6 | |
| Near Vision | 3.6 | |
| Visual Color Discrimination | 3.6 | |
| Speech Clarity | 3.5 | |
| Selective Attention | 3.4 | |
| Arm-Hand Steadiness | 3.4 | |
| Manual Dexterity | 3.4 | |
| Rate Control | 3.4 | |
| Deductive Reasoning | 3.3 | |
| Multilimb Coordination | 3.3 | |
| Depth Perception | 3.3 | |
| Speech Recognition | 3.3 | |
| Information Ordering | 3.1 | |
| Flexibility of Closure | 3.1 | |
| Perceptual Speed | 3.1 | |
| Visualization | 3.1 | |
| Trunk Strength | 3.1 |
Transferable skills
| Operation and Control | 3.8 | |
| Operations Monitoring | 3.6 | |
| Complex Problem Solving | 3.4 | |
| Coordination | 3.1 | |
| Troubleshooting | 3.1 | |
| Quality Control Analysis | 3.1 | |
| Judgment and Decision Making | 3.1 | |
| Time Management | 3.1 |
Essential skills
| Monitoring | 3.6 | |
| Speaking | 3.5 | |
| Active Listening | 3.4 | |
| Critical Thinking | 3.3 | |
| Reading Comprehension | 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
| Example | Category | |
|---|---|---|
| Positive train control PTC systems | Expert system software | |
| Railcar inspection management software | Facilities management software | |
| RailComm DocYard | Industrial control software | |
| Railyard inventory software | Inventory management software | |
| Railyard management software RMS | Data base user interface and query software | |
| Softrail AEI Automatic Yard Tracking System | Industrial control software | |
| Softrail AEI Rail & Road Manager | Inventory management software | |
| Web browser software | Internet browser 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.
How to get in
- Job zone
- Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
- Education
- Usually requires a high school diploma or GED, though some occupations may not.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- Preparation level
- SVP (Below 6.0) — total schooling plus on-the-job experience.
What to study: Transportation and Materials Moving . 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 | 82.5% | |
| Post-Secondary Certificate | 13.3% | |
| Less than a High School Diploma | 4.1% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Realistic | 6.8 | |
| Conventional | 4.3 | |
| Enterprising | 2.1 | |
| Investigative | 2.0 | |
| Social | 1.8 |
Interest areas
| Transportation/Machine Operation | 6.8 | |
| Mechanics/Electronics | 3.9 | |
| Physical/Manual Labor | 3.5 | |
| Engineering | 2.7 | |
| Protective Service | 1.5 | |
| Management/Administration | 1.5 |
Work styles
| Dependability | 3.0 | |
| Cautiousness | 2.6 | |
| Attention to Detail | 2.3 | |
| Integrity | 1.9 | |
| Stress Tolerance | 1.8 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $44,510 |
| 25th percentile | $51,770 |
| Median (50th) | $58,030 |
| 75th percentile | $65,530 |
| 90th percentile | $79,070 |
| People employed | 3,300 |
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 | 2,820 | $58,030 |
| Manufacturing · Sector | 120 | $61,300 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 80 | $64,130 |
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 | 17.82× | 2,820 |
| Manufacturing · Sector | 0.44× | 120 |
Related occupations
Part of the Supply Chain & Transportation career cluster.
- Railroad Brake, Signal, and Switch Operators and Locomotive Firers · 53-4022.00 Compare →
- Locomotive Engineers · 53-4011.00 Compare →
- Railroad Conductors and Yardmasters · 53-4031.00 Compare →
- Bus and Truck Mechanics and Diesel Engine Specialists · 49-3031.00 Compare →
- Operating Engineers and Other Construction Equipment Operators · 47-2073.00 Compare →
- Industrial Truck and Tractor Operators · 53-7051.00 Compare →
- Heavy and Tractor-Trailer Truck Drivers · 53-3032.00 Compare →
- Tank Car, Truck, and Ship Loaders · 53-7121.00 Compare →
- Hoist and Winch Operators · 53-7041.00 Compare →
- Loading and Moving Machine Operators, Underground Mining · 47-5044.00 Compare →
- Crane and Tower Operators · 53-7021.00 Compare →
- Rail Car Repairers · 49-3043.00 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 Rail Yard Engineers, Dinkey Operators, and Hostlers — 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 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
- Transportation and Materials Moving · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 33rd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Rail Yard Engineers, Dinkey Operators, and Hostlers show 29th-percentile AI task overlap — and about 200 annual U.S. openings
- Rail Yard Engineers, Dinkey Operators, and Hostlers 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 (+0.3%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $58,030, across about 3,300 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Rail Yard Engineers, Dinkey Operators, and Hostlers show 29th-percentile AI task overlap — and about 200 annual U.S. openings • Rail Yard Engineers, Dinkey Operators, and Hostlers 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 (+0.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $58,030, across about 3,300 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Rail Yard Engineers, Dinkey Operators, and Hostlers". https://singulariki.com/roles/role-53-4013-00 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. "Rail Yard Engineers, Dinkey Operators, and Hostlers." 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-53-4013-00
APA
Singulariki. (2026). Rail Yard Engineers, Dinkey Operators, and Hostlers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-4013-00
BibTeX
@misc{singulariki-role-53-4013-00,
title = {Rail Yard Engineers, Dinkey Operators, and Hostlers},
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-53-4013-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.