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 Energy Engineers
Occupation · SOC 17-2199.10
Design underground or overhead wind farm collector systems and prepare and develop site specifications.
Also called: Engineer · Project Engineer · Utility Engineer · Wind Energy Consultant · Turbine Measurements Engineer · Wind Farm Siting and Development Consultant · Wind Turbine Design Engineer · SCADA Engineer (Supervisory Control and Data Acquisition) · Turbine Engineer · Wind Energy Engineer · Wind Farm Designer · Wind Farm Electrical Systems Designer
Job family: Architecture and Engineering Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-17-2199-10/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.
- About average employment outlook (+2.1% by 2034)
- 9,300 openings/yr
- High AI exposure
- Median pay $117,750/yr
- Can largely be done remotely (teleworkable)
- A reversal from 2013 — rated low automation risk then (9th), high AI task-overlap now (69th)
69th-percentile task overlap — yet about 9,300 openings a year (+2.1% 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.) High | 67th | 0.8 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 70th | 0.8 | |
| AI assistant applicability (Microsoft) High | 71st | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), 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.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
Historical automation estimate (2013)
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 0.0 · 9th percentile among occupations · Low
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +2.1% by 2034 |
| Projected annual openings | 9,300 |
| Employment 2024 → 2034 | 158,800 → 162,100 |
“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 Energy Engineers sits at the 57th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
30% mean task exposure (2025)
57th percentile of 427 placed occupations
+8 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Engineering Professionals Not Elsewhere Classified · 2149 | 30% | 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 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms. Core · importance 3.9
- Provide engineering technical support to designers of prototype wind turbines. Supplemental · importance 3.8
- Recommend process or infrastructure changes to improve wind turbine performance, reduce operational costs, or comply with regulations. Core · importance 3.7
- Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load. Supplemental · importance 3.6
- Create models to optimize the layout of wind farm access roads, crane pads, crane paths, collection systems, substations, switchyards, or transmission lines. Core · importance 3.5
- Develop active control algorithms, electronics, software, electromechanical, or electrohydraulic systems for wind turbines. Supplemental · importance 3.5
- Develop specifications for wind technology components, such as gearboxes, blades, generators, frequency converters, or pad transformers. Supplemental · importance 3.4
- Test wind turbine components, using mechanical or electronic testing equipment. Supplemental · importance 3.4
- Oversee the work activities of wind farm consultants or subcontractors. Supplemental · importance 3.4
- Test wind turbine equipment to determine effects of stress or fatigue. Supplemental · importance 3.4
- Monitor wind farm construction to ensure compliance with regulatory standards or environmental requirements. Supplemental · importance 3.2
- Direct balance of plant (BOP) construction, generator installation, testing, commissioning, or supervisory control and data acquisition (SCADA) to ensure compliance with specifications. Supplemental · importance 3.0
- Analyze operation of wind farms or wind farm components to determine reliability, performance, and compliance with specifications. Supplemental · importance 3.0
- Perform root cause analysis on wind turbine tower component failures. Supplemental · importance 3.0
- Design underground or overhead wind farm collector systems. Supplemental · importance 2.9
- Write reports to document wind farm collector system test results. Supplemental · importance 2.8
Emerging tasks
Newer responsibilities O*NET has flagged as growing for this occupation.
- Analyze meteorological data.
- Design electrical interconnections.
- Design wind turbine components.
- Estimate energy production by analyzing wind data.
Work activities
- Document design or operational test results.
- Direct energy production or management activities.
- Recommend technical design or process changes to improve efficiency, quality, or performance.
- Research design or application of green technologies.
- Test green technologies or processes.
- Provide technical guidance to other personnel.
- Conduct quantitative failure analyses of operational data.
- Monitor processes for compliance with standards.
- Determine design criteria or specifications.
- Design energy production or management equipment or systems.
- Create graphical representations of energy production systems.
- Evaluate the characteristics of green technologies.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Engineering and Technology | 4.8 | |
| Mathematics | 4.4 | |
| Design | 4.4 | |
| Physics | 4.2 | |
| English Language | 4.1 | |
| Computers and Electronics | 4.0 | |
| Administration and Management | 3.6 | |
| Customer and Personal Service | 3.4 | |
| Building and Construction | 3.3 | |
| Mechanical | 3.3 |
Essential skills
| Critical Thinking | 4.0 | |
| Reading Comprehension | 3.8 | |
| Mathematics | 3.5 | |
| Active Listening | 3.4 | |
| Writing | 3.4 | |
| Speaking | 3.4 | |
| Science | 3.3 | |
| Monitoring | 3.1 |
Abilities
| Deductive Reasoning | 3.9 | |
| Written Comprehension | 3.8 | |
| Inductive Reasoning | 3.8 | |
| Mathematical Reasoning | 3.8 | |
| Number Facility | 3.5 | |
| Oral Comprehension | 3.4 | |
| Oral Expression | 3.4 | |
| Written Expression | 3.4 | |
| Problem Sensitivity | 3.4 | |
| Near Vision | 3.3 | |
| Speech Clarity | 3.3 | |
| Fluency of Ideas | 3.1 | |
| Originality | 3.1 | |
| Information Ordering | 3.1 | |
| Visualization | 3.1 | |
| Speech Recognition | 3.1 |
Transferable skills
| Judgment and Decision Making | 3.5 | |
| Complex Problem Solving | 3.4 | |
| Systems Analysis | 3.4 | |
| Operations Analysis | 3.3 | |
| Systems Evaluation | 3.3 | |
| Social Perceptiveness | 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.
Showing the top 40 of 48.
Tools & technology
Showing the top 40 of 63.
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 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Engineering , Engineering/Engineering-Related Technologies/Technicians , Health Professions and Related Programs . 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.
| Bachelor's Degree | 69.6% | |
| Master's Degree | 13.9% | |
| Post-Baccalaureate Certificate | 5.7% | |
| Some College Courses | 3.9% | |
| First Professional Degree | 2.9% | |
| Doctoral Degree | 2.4% | |
| Post-Secondary Certificate | 1.6% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Realistic | 5.9 | |
| Investigative | 4.5 | |
| Conventional | 4.1 | |
| Enterprising | 3.1 | |
| Artistic | 2.2 | |
| Social | 1.4 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $62,840 |
| 25th percentile | $85,750 |
| Median (50th) | $117,750 |
| 75th percentile | $152,670 |
| 90th percentile | $183,510 |
| People employed | 150,750 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 17-2199), not for the specialty alone.
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 |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 37,330 | $112,040 |
| Manufacturing · Sector | 36,850 | $107,590 |
| Engineering Services · National industry | 16,150 | $101,730 |
| Wholesale Trade · Sector | 6,470 | $103,760 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 6,030 | $95,040 |
| Management of Companies and Enterprises · Sector | 5,210 | $122,930 |
| Information · Sector | 3,800 | $159,700 |
| Temporary Help Services · National industry | 3,680 | $88,000 |
| Construction · Sector | 3,520 | $81,570 |
| Utilities · Sector | 2,970 | $118,630 |
| Testing Laboratories and Services · National industry | 2,780 | $102,200 |
| Educational Services · Sector | 2,720 | $98,560 |
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 |
|---|---|---|
| Solar Electric Power Generation · National industry | 19.8× | 270 |
| Testing Laboratories and Services · National industry | 16.69× | 2,780 |
| Engineering Services · National industry | 14.29× | 16,150 |
| Wind Electric Power Generation · National industry | 11.33× | 110 |
| Utilities · Sector | 5.24× | 2,970 |
| Nuclear Electric Power Generation · National industry | 5.23× | 190 |
| Fossil Fuel Electric Power Generation · National industry | 5.16× | 360 |
| Professional, Scientific, and Technical Services · Sector | 3.55× | 37,330 |
Related occupations
Part of the Advanced Manufacturing , Agriculture , Construction and Energy & Natural Resources career clusters.
- Wind Energy Development Managers · 11-9199.10 Compare →
- Solar Energy Systems Engineers · 17-2199.11 Compare →
- Energy Engineers, Except Wind and Solar · 17-2199.03 Compare →
- Electrical Engineers · 17-2071.00 Compare →
- Mechanical Engineers · 17-2141.00 Compare →
- Aerospace Engineers · 17-2011.00 Compare →
- Water/Wastewater Engineers · 17-2051.02 Compare →
- Civil Engineers · 17-2051.00 Compare →
- Automotive Engineers · 17-2141.02 Compare →
- Mechatronics Engineers · 17-2199.05 Compare →
- Wind Turbine Service Technicians · 49-9081.00 Compare →
- Wind Energy Operations Managers · 11-9199.09 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 Energy Engineers — 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.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Engineering · field of study
- Engineering/Engineering-Related Technologies/Technicians · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 57th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Wind Energy Engineers show 69th-percentile AI task overlap — and about 9,300 annual U.S. openings
- Wind Energy Engineers rank in the 69th percentile (High 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 9,300 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 about average (+2.1%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $117,750, across about 150,750 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Wind Energy Engineers show 69th-percentile AI task overlap — and about 9,300 annual U.S. openings • Wind Energy Engineers rank in the 69th percentile (High 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 9,300 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 about average (+2.1%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $117,750, across about 150,750 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Wind Energy Engineers". https://singulariki.com/roles/role-17-2199-10 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)
- 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
Plain
Singulariki. "Wind Energy 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; 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-17-2199-10
APA
Singulariki. (2026). Wind Energy Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-17-2199-10
BibTeX
@misc{singulariki-role-17-2199-10,
title = {Wind Energy Engineers},
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/roles/role-17-2199-10}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.