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 →Wind Turbine Service Technicians
Occupation · SOC 49-9081.00
Inspect, diagnose, adjust, or repair wind turbines. Perform maintenance on wind turbine equipment including resolving electrical, mechanical, and hydraulic malfunctions.
Also called: Field Service Technician · Wind Farm Support Specialist · Wind Technician · Wind Turbine Technician · Renewable Energy Technician · Service Technician · Troubleshooting Technician · Wind Turbine Operator · Wind Turbine Service Technician · Wind Turbine Troubleshooting Technician · Commissioning Tech (Commissioning Technician) · Energy Technician
Job family: Installation, Maintenance, and Repair Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-49-9081-00/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.
Market signal
Independent published positions, read together — not a forecast.
- Growing fast employment outlook (+49.9% by 2034)
- 2,300 openings/yr
- Moderate AI exposure
- Median pay $62,580/yr
- Work is mostly on-site (not teleworkable)
22nd-percentile task overlap — yet about 2,300 openings a year (+49.9% 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.) Low | 19th | -1.0 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 13th | 0.1 | |
| AI assistant applicability (Microsoft) Moderate | 41st | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.1). 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.
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +49.9% by 2034 |
| Projected annual openings | 2,300 |
| Employment 2024 → 2034 | 13,600 → 20,500 |
“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.
Wind Turbine Service Technicians sits at the 24th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
17% mean task exposure (2025)
24th percentile of 427 placed occupations
−2 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Agricultural and Industrial Machinery Mechanics and Repairers · 7233 | 17% | 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 13 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Troubleshoot or repair mechanical, hydraulic, or electrical malfunctions related to variable pitch systems, variable speed control systems, converter systems, or related components. Core · importance 4.7
- Perform routine maintenance on wind turbine equipment, underground transmission systems, wind fields substations, or fiber optic sensing and control systems. Core · importance 4.6
- Diagnose problems involving wind turbine generators or control systems. Core · importance 4.6
- Test electrical components of wind systems with devices, such as voltage testers, multimeters, oscilloscopes, infrared testers, or fiber optic equipment. Core · importance 4.5
- Start or restart wind turbine generator systems to ensure proper operations. Core · importance 4.5
- Climb wind turbine towers to inspect, maintain, or repair equipment. Core · importance 4.5
- Maintain tool and spare parts inventories required for repair, installation, or replacement services. Core · importance 4.1
- Test structures, controls, or mechanical, hydraulic, or electrical systems, according to test plans or in coordination with engineers. Core · importance 4.1
- Collect turbine data for testing or research and analysis. Core · importance 3.8
- Train end-users, distributors, installers, or other technicians in wind commissioning, testing, or other technical procedures. Core · importance 3.8
- Inspect or repair fiberglass turbine blades. Supplemental · importance 3.5
- Assist in assembly of individual wind generators or construction of wind farms. Supplemental · importance 3.1
- Operate manufacturing equipment to fabricate wind turbines. Supplemental
Work activities
- Inspect mechanical equipment to locate damage, defects, or wear.
- Repair green energy equipment or systems.
- Troubleshoot equipment or systems operation problems.
- Climb equipment or structures to access work areas.
- Maintain work equipment or machinery.
- Test mechanical equipment to ensure proper functioning.
- Test electrical circuits or components for proper functioning.
- Test electrical equipment or systems to ensure proper functioning.
- Test mechanical systems to ensure proper functioning.
- Assemble structural components.
- Measure equipment outputs.
- Maintain inventories of materials, equipment, or products.
- Train others in operational procedures.
- Train customers in the use of products.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Transferable skills
| Operations Monitoring | 4.0 | |
| Equipment Maintenance | 4.0 | |
| Troubleshooting | 4.0 | |
| Repairing | 4.0 | |
| Complex Problem Solving | 3.3 | |
| Quality Control Analysis | 3.3 | |
| Operation and Control | 3.1 | |
| Judgment and Decision Making | 3.1 | |
| Systems Analysis | 3.1 | |
| Systems Evaluation | 3.1 |
Abilities
| Problem Sensitivity | 4.0 | |
| Oral Comprehension | 3.8 | |
| Finger Dexterity | 3.8 | |
| Near Vision | 3.8 | |
| Deductive Reasoning | 3.6 | |
| Arm-Hand Steadiness | 3.6 | |
| Manual Dexterity | 3.6 | |
| Written Comprehension | 3.3 | |
| Oral Expression | 3.3 | |
| Inductive Reasoning | 3.3 | |
| Information Ordering | 3.3 | |
| Visualization | 3.3 | |
| Control Precision | 3.3 | |
| Multilimb Coordination | 3.3 | |
| Category Flexibility | 3.1 |
Essential skills
| Critical Thinking | 3.5 | |
| Reading Comprehension | 3.3 | |
| Monitoring | 3.3 | |
| Active Listening | 3.1 | |
| Speaking | 3.1 | |
| Active Learning | 3.1 |
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
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.
How to get in
- Job zone
- Zone 3 — Job Zone Three: Medium Preparation Needed
- Education
- Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
- Typical entry-level education
- Postsecondary nondegree award · BLS, the typical path — not a requirement
- Related experience
- Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
- Preparation level
- SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.
What to study: Engineering/Engineering-Related Technologies/Technicians , Mechanic and Repair Technologies/Technicians . 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.
| Post-Secondary Certificate | 34.4% | |
| High School Diploma | 28.7% | |
| Some College Courses | 21.8% | |
| Associate's Degree (or other 2-year degree) | 15.1% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Realistic | 7.0 | |
| Conventional | 4.3 | |
| Investigative | 3.6 |
Interest areas
| Mechanics/Electronics | 6.6 | |
| Engineering | 5.8 | |
| Physical/Manual Labor | 5.2 | |
| Nature/Outdoors | 2.5 | |
| Information Technology | 2.3 | |
| Physical Science | 2.2 | |
| Transportation/Machine Operation | 2.1 | |
| Mathematics/Statistics | 2.1 |
Work styles
| Dependability | 5.0 | |
| Attention to Detail | 4.0 | |
| Cautiousness | 3.0 | |
| Perseverance | 2.1 | |
| Adaptability | 2.0 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $49,110 |
| 25th percentile | $58,910 |
| Median (50th) | $62,580 |
| 75th percentile | $75,640 |
| 90th percentile | $88,090 |
| People employed | 11,220 |
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 |
|---|---|---|
| Utilities · Sector | 4,830 | $64,630 |
| Wind Electric Power Generation · National industry | 4,620 | $64,170 |
| Construction · Sector | 2,330 | $63,060 |
| Power and Communication Line and Related Structures Construction · National industry | 2,190 | $63,070 |
| Other Services (except Public Administration) · Sector | 1,880 | $61,790 |
| Manufacturing · Sector | 540 | $64,330 |
| Wholesale Trade · Sector | 310 | $66,710 |
| Professional, Scientific, and Technical Services · Sector | 130 | $66,290 |
| Other Electric Power Generation · National industry | 100 | $87,880 |
| Fossil Fuel Electric Power Generation · National industry | 50 | $111,080 |
| Electrical Contractors and Other Wiring Installation Contractors · National industry | — | $61,210 |
| Engineering Services · National industry | — | $64,030 |
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 |
|---|---|---|
| Wind Electric Power Generation · National industry | 6393.6× | 4,620 |
| Other Electric Power Generation · National industry | 393.76× | 100 |
| Power and Communication Line and Related Structures Construction · National industry | 128.53× | 2,190 |
| Utilities · Sector | 114.55× | 4,830 |
| Other Services (except Public Administration) · Sector | 5.84× | 1,880 |
| Construction · Sector | 3.94× | 2,330 |
| Wholesale Trade · Sector | 0.71× | 310 |
| Manufacturing · Sector | 0.58× | 540 |
Related occupations
Part of the Energy & Natural Resources career cluster.
- Hydroelectric Plant Technicians · 51-8013.04 Compare →
- Wind Energy Operations Managers · 11-9199.09 Compare →
- Power Plant Operators · 51-8013.00 Compare →
- Geothermal Technicians · 49-9099.01 Compare →
- Solar Photovoltaic Installers · 47-2231.00 Compare →
- Stationary Engineers and Boiler Operators · 51-8021.00 Compare →
- Solar Thermal Installers and Technicians · 47-2152.04 Compare →
- Biomass Plant Technicians · 51-8013.03 Compare →
- Electrical and Electronics Repairers, Powerhouse, Substation, and Relay · 49-2095.00 Compare →
- Power Distributors and Dispatchers · 51-8012.00 Compare →
- Wind Energy Engineers · 17-2199.10 Compare →
- Hydroelectric Production Managers · 11-3051.06 Compare →
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 Wind Turbine Service Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Postsecondary nondegree award · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Engineering/Engineering-Related Technologies/Technicians · field of study
- Mechanic and Repair Technologies/Technicians · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 24th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Wind Turbine Service Technicians show 22nd-percentile AI task overlap — and about 2,300 annual U.S. openings
- Wind Turbine Service Technicians rank in the 22nd percentile (Low 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 2,300 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 growing fast (+49.9%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $62,580, across about 11,220 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Wind Turbine Service Technicians show 22nd-percentile AI task overlap — and about 2,300 annual U.S. openings • Wind Turbine Service Technicians rank in the 22nd percentile (Low 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 2,300 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 growing fast (+49.9%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $62,580, across about 11,220 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Wind Turbine Service Technicians". https://singulariki.com/roles/role-49-9081-00 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.
- 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)
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Wind Turbine Service 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; 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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-49-9081-00
APA
Singulariki. (2026). Wind Turbine Service Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-49-9081-00
BibTeX
@misc{singulariki-role-49-9081-00,
title = {Wind Turbine Service Technicians},
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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-49-9081-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.