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Railroad Conductors and Yardmasters

Occupation · SOC 53-4031.00

Coordinate activities of switch-engine crew within railroad yard, industrial plant, or similar location. Conductors coordinate activities of train crew on passenger or freight trains. Yardmasters review train schedules and switching orders and coordinate activities of workers engaged in railroad traffic operations, such as the makeup or breakup of trains and yard switching.

Also called: Conductor · Freight Conductor · Railroad Conductor · Yardmaster · Train Master · Trainman · Car Chaser · Car Dispatcher · Car Distributor · Car Spotter · Centralized Traffic Control Operator (CTC Operator) · Dispatch Manager

Job family: Transportation and Material Moving Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-53-4031-00/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.

41st-percentile task overlap — yet about 3,100 openings a year (+1.1% 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 36th -0.5
LLM task exposure, γ (OpenAI / Eloundou) Moderate 42nd 0.5
AI assistant applicability (Microsoft) Moderate 52nd 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.5). 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 0.8 · 68th 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 information regarding train or rail problems from dispatchers or from electronic monitoring devices. 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 · +1.1% by 2034
Projected annual openings 3,100
Employment 2024 → 2034 36,800 → 37,200

“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.

18% mean task exposure (2025)
25th percentile of 427 placed occupations
−5 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Railway Brake, Signal and Switch Operators · 8312 18% 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 22 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Abilities

Oral Expression 4.0
Oral Comprehension 3.9
Problem Sensitivity 3.9
Near Vision 3.6
Far Vision 3.6
Speech Recognition 3.6
Speech Clarity 3.6
Information Ordering 3.5
Deductive Reasoning 3.4
Inductive Reasoning 3.4
Written Comprehension 3.3
Reaction Time 3.3
Written Expression 3.1
Category Flexibility 3.1
Perceptual Speed 3.1
Visualization 3.1
Selective Attention 3.1
Control Precision 3.1
Auditory Attention 3.1

Knowledge

Public Safety and Security 4.0
Transportation 4.0
English Language 3.5
Education and Training 3.1
Law and Government 3.0

Essential skills

Speaking 3.8
Monitoring 3.8
Critical Thinking 3.6
Active Listening 3.5
Reading Comprehension 3.1
Writing 3.0
Active Learning 3.0

Transferable skills

Coordination 3.8
Judgment and Decision Making 3.5
Time Management 3.5
Operations Monitoring 3.4
Complex Problem Solving 3.3
Operation and Control 3.3
Persuasion 3.0
Quality Control Analysis 3.0
Systems Analysis 3.0

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
Microsoft Office software Office suite software Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Automated equipment identification AEI software Industrial control software
Bourque Data Systems YardMaster Materials requirements planning logistics and supply chain software
Freight reservation software Materials requirements planning logistics and supply chain software
Inventory tracking software Inventory management software
Positive train control PTC systems Expert system software
RailComm DocYard Industrial control software
SAIC government services and IT support software Industrial control software
Softrail AEI Automatic Yard Tracking System Industrial control software
Softrail AEI Rail & Road Manager Inventory management 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.

Face-to-Face Discussions with Individuals and Within Teams 4.9
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.8
Outdoors, Exposed to All Weather Conditions 4.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.7
Contact With Others 4.5
Work With or Contribute to a Work Group or Team 4.5
In an Enclosed Vehicle or Operate Enclosed Equipment 4.3
Exposed to Contaminants 4.3
Frequency of Decision Making 4.3
Telephone Conversations 4.3
Consequence of Error 4.3
Health and Safety of Other Workers 4.2
Exposed to Very Hot or Cold Temperatures 4.1
Importance of Being Exact or Accurate 4.1
Impact of Decisions on Co-workers or Company Results 4.0
Coordinate or Lead Others in Accomplishing Work Activities 4.0
Spend Time Sitting 3.9
Freedom to Make Decisions 3.8
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.8
Work Outcomes and Results of Other Workers 3.8
Exposed to Hazardous Equipment 3.7
Importance of Repeating Same Tasks 3.7
Physical Proximity 3.5
Time Pressure 3.4
Determine Tasks, Priorities and Goals 3.4
Indoors, Not Environmentally Controlled 3.3
Deal With External Customers or the Public in General 3.3
Exposed to Hazardous Conditions 3.3
E-Mail 3.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.1
Exposed to Minor Burns, Cuts, Bites, or Stings 3.1
Conflict Situations 3.1
Exposed to Whole Body Vibration 3.0
Written Letters and Memos 3.0
Spend Time Making Repetitive Motions 3.0
Pace Determined by Speed of Equipment 2.9
Exposed to Cramped Work Space, Awkward Positions 2.8
Dealing With Unpleasant, Angry, or Discourteous People 2.8
Exposed to High Places 2.6
Spend Time Walking or Running 2.6

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 85.6%
Post-Secondary Certificate 8.3%
Associate's Degree (or other 2-year degree) 6.0%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Transportation/Machine Operation 6.1
Management/Administration 3.6
Physical/Manual Labor 2.4
Mechanics/Electronics 2.2
Protective Service 2.0
Engineering 1.9

Work styles

Dependability 6.0
Attention to Detail 5.0
Integrity 4.0
Cautiousness 3.0
Leadership Orientation 2.3
Stress Tolerance 2.2

Career interests (Holland / RIASEC)

Realistic 5.8
Conventional 4.9
Enterprising 3.8
Investigative 2.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$53k10th$63k25th$74kMedian$82k75th$103k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
37k202437k2034 (proj.)+1.1% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $53,490
25th percentile $63,480
Median (50th) $74,080
75th percentile $82,060
90th percentile $103,350
People employed 42,710

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 38,470 $71,930
Mining, Quarrying, and Oil and Gas Extraction · Sector 110 $83,200
Manufacturing · Sector 110 $66,500

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 18.79× 38,470
Mining, Quarrying, and Oil and Gas Extraction · Sector 0.69× 110
Manufacturing · Sector 0.03× 110

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Railroad Conductors and Yardmasters sits at the 41st percentile of AI task-overlap and the 63rd percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Railroad Conductors and Yardmasters Railroad Brake, Signal, and Switch Operators and Locomotive Firers Rail Yard Engineers, Dinkey Operators, and Hostlers Subway and Streetcar Operators Airfield Operations Specialists Air Traffic Controllers Dispatchers, Except Police, Fire, and Ambulance AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

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 Railroad Conductors and Yardmasters — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Railroad Conductors and Yardmasters show 41st-percentile AI task overlap — and about 3,100 annual U.S. openings

  • Railroad Conductors and Yardmasters rank in the 41st 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 3,100 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 (+1.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $74,080, across about 42,710 U.S. workers.BLS OEWS (May 2024)
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Railroad Conductors and Yardmasters show 41st-percentile AI task overlap — and about 3,100 annual U.S. openings

• Railroad Conductors and Yardmasters rank in the 41st 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 3,100 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 (+1.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $74,080, across about 42,710 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Railroad Conductors and Yardmasters". https://singulariki.com/roles/role-53-4031-00
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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Railroad Conductors and Yardmasters." 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-53-4031-00

APA

Singulariki. (2026). Railroad Conductors and Yardmasters. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-4031-00

BibTeX
@misc{singulariki-role-53-4031-00,
  title  = {Railroad Conductors and Yardmasters},
  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-53-4031-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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