Bicycle Repairers vs Rail Car Repairers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Bicycle Repairers and Rail Car Repairers on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Bicycle Repairers | Rail Car Repairers |
|---|---|---|
| Median pay | $40,360 | $65,680 |
| Employment | 12,590 | 18,300 |
| Employment outlook (2024–34) · BLS projection | Declining (-2.3%) | About average (+2.8%) |
| Annual openings · BLS projection | 1,600 | 1,500 |
| Typical education · O*NET | Usually requires a high school diploma or GED, though some occupations may not. | Usually requires a high school diploma or GED, though some occupations may not. |
| AI exposure · published exposure studies | Moderate · 40th pct | Low · 8th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 11th pct · 13% of tasks | 24th pct · 17% of tasks |
| Observed AI use · Anthropic Economic Index | — | — |
| Mostly remote-capable · Dingel–Neiman | No | No |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Mechanical, Repairing, Visualization, Finger Dexterity, Near Vision, Arm-Hand Steadiness, Manual Dexterity, Active Listening, Critical Thinking, Troubleshooting, Problem Sensitivity, Information Ordering, Administration and Management, Engineering and Technology, Speaking, Equipment Maintenance, Quality Control Analysis, Design, Production and Processing, Control Precision, Mathematics, Deductive Reasoning, Inductive Reasoning, Category Flexibility, Selective Attention, Extent Flexibility.
Specific to Bicycle Repairers
- Customer and Personal Service
- Sales and Marketing
- English Language
- Oral Expression
- Speech Clarity
- Service Orientation
- Equipment Selection
- Oral Comprehension
Specific to Rail Car Repairers
- Multilimb Coordination
- Reaction Time
- Static Strength
- Trunk Strength
- Perceptual Speed
- Operations Monitoring
- Flexibility of Closure
- Building and Construction
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Spreadsheet software , Electronic mail software , Word processing software , Data base user interface and query software , Internet browser software .
Specific to Bicycle Repairers
Full profiles
This page is a summary. See the complete source-backed profile for Bicycle Repairers or Rail Car Repairers — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Bicycle Repairers vs Motorcycle Mechanics
- Bicycle Repairers vs Tire Repairers and Changers
- Bicycle Repairers vs Outdoor Power Equipment and Other Small Engine Mechanics
- Bicycle Repairers vs Electric Motor, Power Tool, and Related Repairers
- Bicycle Repairers vs Engine and Other Machine Assemblers
- Bicycle Repairers vs Automotive Service Technicians and Mechanics
- Bicycle Repairers vs Recreational Vehicle Service Technicians
- Bicycle Repairers vs Motorboat Mechanics and Service Technicians
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
Singulariki. "Bicycle Repairers vs Rail Car Repairers." 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/compare/bicycle-repairers-vs-rail-car-repairers
Singulariki. (2026). Bicycle Repairers vs Rail Car Repairers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/bicycle-repairers-vs-rail-car-repairers
@misc{singulariki-bicycle-repairers-vs-rail-car-repairers,
title = {Bicycle Repairers vs Rail Car Repairers},
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/compare/bicycle-repairers-vs-rail-car-repairers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.