Ship Engineers vs Maintenance and Repair Workers, General
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Ship Engineers and Maintenance and Repair Workers, General 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 | Ship Engineers | Maintenance and Repair Workers, General |
|---|---|---|
| Median pay | $101,320 | $48,620 |
| Employment | 8,580 | 1,531,700 |
| Employment outlook (2024–34) · BLS projection | About average (+1.6%) | About average (+3.8%) |
| Annual openings · BLS projection | 1,100 | 159,800 |
| Typical education · O*NET | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. |
| AI exposure · published exposure studies | Low · 4th pct | Low · 21st pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 42nd pct · 23% of tasks | 4th pct · 11% of tasks |
| Observed AI use · Anthropic Economic Index | — | Augmentation-leaning (40.7%) |
| 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, Oral Comprehension, Oral Expression, Problem Sensitivity, Deductive Reasoning, Critical Thinking, Operations Monitoring, Operation and Control, Equipment Maintenance, Troubleshooting, Repairing, Active Listening, Monitoring, Control Precision, Near Vision, English Language, Speaking, Speech Clarity, Complex Problem Solving, Speech Recognition, Active Learning, Mathematics, Inductive Reasoning, Information Ordering, Reading Comprehension, Quality Control Analysis, Written Expression, Category Flexibility, Flexibility of Closure, Visualization, Selective Attention, Arm-Hand Steadiness, Manual Dexterity.
Specific to Ship Engineers
- Written Comprehension
- Engineering and Technology
- Public Safety and Security
- Transportation
- Judgment and Decision Making
- Systems Analysis
- Computers and Electronics
Specific to Maintenance and Repair Workers, General
- Building and Construction
- Finger Dexterity
- Multilimb Coordination
- Extent Flexibility
- Production and Processing
- Coordination
- Equipment Selection
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: Operating system software , Data base user interface and query software , Spreadsheet software , Office suite software , Electronic mail software , Presentation software , Project management software , Word processing software , Enterprise resource planning ERP software , Facilities management software , Industrial control software .
Specific to Ship Engineers
Specific to Maintenance and Repair Workers, General
Full profiles
This page is a summary. See the complete source-backed profile for Ship Engineers or Maintenance and Repair Workers, General — 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.
- Ship Engineers vs Stationary Engineers and Boiler Operators
- Ship Engineers vs Marine Engineers and Naval Architects
- Ship Engineers vs Hydroelectric Plant Technicians
- Ship Engineers vs Sailors and Marine Oilers
- Ship Engineers vs Motorboat Mechanics and Service Technicians
- Ship Engineers vs Bus and Truck Mechanics and Diesel Engine Specialists
- Ship Engineers vs Aircraft Mechanics and Service Technicians
- Ship Engineers vs Locomotive Engineers
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
Singulariki. "Ship Engineers vs Maintenance and Repair Workers, General." 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/compare/ship-engineers-vs-maintenance-and-repair-workers-general
Singulariki. (2026). Ship Engineers vs Maintenance and Repair Workers, General. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/ship-engineers-vs-maintenance-and-repair-workers-general
@misc{singulariki-ship-engineers-vs-maintenance-and-repair-workers-general,
title = {Ship Engineers vs Maintenance and Repair Workers, General},
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/compare/ship-engineers-vs-maintenance-and-repair-workers-general}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.