Captains, Mates, and Pilots of Water Vessels vs Ship Engineers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Captains, Mates, and Pilots of Water Vessels and Ship Engineers 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 | Captains, Mates, and Pilots of Water Vessels | Ship Engineers |
|---|---|---|
| Median pay | $85,540 | $101,320 |
| Employment | 35,390 | 8,580 |
| Employment outlook (2024–34) · BLS projection | About average (+0.5%) | About average (+1.6%) |
| Annual openings · BLS projection | 4,300 | 1,100 |
| 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 | Moderate · 42nd pct | Low · 4th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 55th pct · 29% of tasks | 42nd pct · 23% 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: Transportation, Oral Comprehension, Oral Expression, Public Safety and Security, Problem Sensitivity, Deductive Reasoning, Operation and Control, Written Comprehension, Arm-Hand Steadiness, Control Precision, Near Vision, Speech Clarity, Speaking, Monitoring, Inductive Reasoning, Information Ordering, Speech Recognition, Mechanical, Active Listening, Critical Thinking, Operations Monitoring, Judgment and Decision Making, Written Expression, Flexibility of Closure, Manual Dexterity, English Language, Reading Comprehension, Complex Problem Solving, Category Flexibility, Visualization, Selective Attention.
Specific to Captains, Mates, and Pilots of Water Vessels
- Spatial Orientation
- Far Vision
- Perceptual Speed
- Depth Perception
- Law and Government
- Geography
- Coordination
- Management of Personnel Resources
Specific to Ship Engineers
- Equipment Maintenance
- Troubleshooting
- Repairing
- Engineering and Technology
- Active Learning
- Systems Analysis
- Mathematics
- Computers and Electronics
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: Office suite software , Operating system software , Spreadsheet software , Electronic mail software , Presentation software , Word processing software , Facilities management software , Data base user interface and query software .
Specific to Captains, Mates, and Pilots of Water Vessels
Full profiles
This page is a summary. See the complete source-backed profile for Captains, Mates, and Pilots of Water Vessels or Ship Engineers — 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.
- Captains, Mates, and Pilots of Water Vessels vs Sailors and Marine Oilers
- Captains, Mates, and Pilots of Water Vessels vs Motorboat Operators
- Captains, Mates, and Pilots of Water Vessels vs Airline Pilots, Copilots, and Flight Engineers
- Captains, Mates, and Pilots of Water Vessels vs Commercial Pilots
- Captains, Mates, and Pilots of Water Vessels vs Transportation Inspectors
- Captains, Mates, and Pilots of Water Vessels vs Bridge and Lock Tenders
- Captains, Mates, and Pilots of Water Vessels vs Aircraft Cargo Handling Supervisors
- Captains, Mates, and Pilots of Water Vessels 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. "Captains, Mates, and Pilots of Water Vessels vs Ship Engineers." 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/captains-mates-and-pilots-of-water-vessels-vs-ship-engineers
Singulariki. (2026). Captains, Mates, and Pilots of Water Vessels vs Ship Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/captains-mates-and-pilots-of-water-vessels-vs-ship-engineers
@misc{singulariki-captains-mates-and-pilots-of-water-vessels-vs-ship-engineers,
title = {Captains, Mates, and Pilots of Water Vessels vs Ship Engineers},
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/captains-mates-and-pilots-of-water-vessels-vs-ship-engineers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.