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 →Occupation · SOC 17-3027.00
Apply theory and principles of mechanical engineering to modify, develop, test, or adjust machinery and equipment under direction of engineering staff or physical scientists.
Also called: Engineering Technician (Engineering Tech) · Mechanical Designer · Mechanical Technician (Mechanical Tech) · Research and Development Technician (R and D Tech) · Engineering Laboratory Technician (Engineering Lab Technician) · Engineering Technical Analyst · Engineering Technologist · Manufacturing Engineering Technician (Manufacturing Engineering Tech) · Process Engineering Technician (Process Engineering Tech) · Process Technician · Apparatus Engineering Technologist · Automation Design Checker
Job family: Architecture and Engineering Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-17-3027-00/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
61st-percentile task overlap — yet about 3,200 openings a year (+0% projected, BLS) . What exposure means →
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.
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 | 46th | -0.1 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 64th | 0.8 | |
| AI assistant applicability (Microsoft) High | 75th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.5), and including AI-powered software (γ 0.8). 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.
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 0.4 · 43rd percentile among occupations · Moderate
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.
| Test machines, components, materials, or products to determine characteristics such as performance, strength, or response to stress. | 21.1% | |
| Record test procedures and results, numerical and graphical data, and recommendations for changes in product or test methods. | 0.6% | |
| Calculate required capacities for equipment of proposed system to obtain specified performance and submit data to engineering personnel for approval. | 0.5% | |
| Provide technical support to other employees regarding mechanical design, fabrication, testing, or documentation. | 0.4% | |
| Design specialized or customized equipment, machines, or structures. | 0.3% | |
| Prepare specifications, designs, or sketches for machines, components, or systems related to the generation, transmission, or use of mechanical or fluid energy. | 0.3% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · 0.0% by 2034 |
| Projected annual openings | 3,200 |
| Employment 2024 → 2034 | 38,300 → 38,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
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.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Mechanical Engineering Technicians · 3115 | 26% | 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.
All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Engineering and Technology | 4.2 | |
| Mechanical | 4.1 | |
| Design | 4.0 | |
| Mathematics | 3.7 | |
| English Language | 3.5 | |
| Computers and Electronics | 3.4 | |
| Production and Processing | 3.3 | |
| Physics | 3.2 |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Information Ordering | 3.9 | |
| Near Vision | 3.9 | |
| Oral Expression | 3.8 | |
| Problem Sensitivity | 3.8 | |
| Deductive Reasoning | 3.8 | |
| Inductive Reasoning | 3.8 | |
| Speech Recognition | 3.8 | |
| Category Flexibility | 3.5 | |
| Number Facility | 3.5 | |
| Selective Attention | 3.5 | |
| Written Expression | 3.4 | |
| Mathematical Reasoning | 3.4 | |
| Flexibility of Closure | 3.4 | |
| Visualization | 3.4 | |
| Perceptual Speed | 3.3 | |
| Speech Clarity | 3.3 |
| Reading Comprehension | 3.8 | |
| Active Listening | 3.8 | |
| Critical Thinking | 3.8 | |
| Speaking | 3.6 | |
| Writing | 3.5 | |
| Mathematics | 3.3 | |
| Active Learning | 3.1 | |
| Monitoring | 3.1 |
| Complex Problem Solving | 3.6 | |
| Operations Monitoring | 3.5 | |
| Judgment and Decision Making | 3.4 | |
| Quality Control Analysis | 3.3 | |
| Systems Analysis | 3.3 | |
| Systems Evaluation | 3.1 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 46.
Showing the top 40 of 44.
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.
What to study: Engineering/Engineering-Related Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 36.5% | |
| Post-Secondary Certificate | 32.8% | |
| Associate's Degree (or other 2-year degree) | 14.1% | |
| Some College Courses | 8.8% | |
| High School Diploma | 7.8% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 6.3 | |
| Investigative | 5.4 | |
| Conventional | 4.8 | |
| Artistic | 2.2 |
| Attention to Detail | 2.7 | |
| Dependability | 2.5 | |
| Cautiousness | 2.0 | |
| Innovation | 1.9 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $46,940 |
| 25th percentile | $57,330 |
| Median (50th) | $68,730 |
| 75th percentile | $82,980 |
| 90th percentile | $100,890 |
| People employed | 37,450 |
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 |
|---|---|---|
| Manufacturing · Sector | 19,270 | $69,640 |
| Professional, Scientific, and Technical Services · Sector | 10,280 | $72,560 |
| Engineering Services · National industry | 4,410 | $74,340 |
| Wholesale Trade · Sector | 2,350 | $59,350 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1,790 | $61,960 |
| Temporary Help Services · National industry | 1,290 | $58,240 |
| Testing Laboratories and Services · National industry | 1,020 | $64,670 |
| Management of Companies and Enterprises · Sector | 930 | $76,360 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 590 | $78,390 |
| Educational Services · Sector | 430 | $54,750 |
| Utilities · Sector | 250 | $94,270 |
| Machine Shops · National industry | 210 | $58,250 |
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 |
|---|---|---|
| Testing Laboratories and Services · National industry | 24.64× | 1,020 |
| Engineering Services · National industry | 15.7× | 4,410 |
| Manufacturing · Sector | 6.22× | 19,270 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 4.24× | 590 |
| Professional, Scientific, and Technical Services · Sector | 3.93× | 10,280 |
| Machine Shops · National industry | 3.33× | 210 |
| Temporary Help Services · National industry | 2× | 1,290 |
| Utilities · Sector | 1.78× | 250 |
Part of the Advanced Manufacturing and Supply Chain & Transportation career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Mechanical Engineering Technologists and Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 48th percentile of 427 international occupations.
Mechanical Engineering Technologists and Technicians show 61st-percentile AI task overlap — and about 3,200 annual U.S. openings
Mechanical Engineering Technologists and Technicians show 61st-percentile AI task overlap — and about 3,200 annual U.S. openings • Mechanical Engineering Technologists and Technicians rank in the 61st 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 3,200 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%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $68,730, across about 37,450 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Mechanical Engineering Technologists and Technicians". https://singulariki.com/roles/role-17-3027-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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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.
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.
Singulariki. "Mechanical Engineering Technologists and Technicians." 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-17-3027-00
Singulariki. (2026). Mechanical Engineering Technologists and Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-17-3027-00
@misc{singulariki-role-17-3027-00,
title = {Mechanical Engineering Technologists and Technicians},
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-17-3027-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.