# Wind Turbine Service Technicians

> Inspect, diagnose, adjust, or repair wind turbines. Perform maintenance on wind turbine equipment including resolving electrical, mechanical, and hydraulic malfunctions.

- **SOC code:** 49-9081.00
- **Canonical URL:** https://singulariki.com/roles/role-49-9081-00
- **Also known as:** Field Service Technician, Wind Farm Support Specialist, Wind Technician, Wind Turbine Technician, Renewable Energy Technician, Service Technician, Troubleshooting Technician, Wind Turbine Operator
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Troubleshoot or repair mechanical, hydraulic, or electrical malfunctions related to variable pitch systems, variable speed control systems, converter systems, or related components.
- Perform routine maintenance on wind turbine equipment, underground transmission systems, wind fields substations, or fiber optic sensing and control systems.
- Diagnose problems involving wind turbine generators or control systems.
- Test electrical components of wind systems with devices, such as voltage testers, multimeters, oscilloscopes, infrared testers, or fiber optic equipment.
- Start or restart wind turbine generator systems to ensure proper operations.
- Climb wind turbine towers to inspect, maintain, or repair equipment.
- Maintain tool and spare parts inventories required for repair, installation, or replacement services.
- Test structures, controls, or mechanical, hydraulic, or electrical systems, according to test plans or in coordination with engineers.
- Collect turbine data for testing or research and analysis.
- Train end-users, distributors, installers, or other technicians in wind commissioning, testing, or other technical procedures.
- Inspect or repair fiberglass turbine blades.
- Assist in assembly of individual wind generators or construction of wind farms.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mechanical _(knowledge)_
- Computers and Electronics _(knowledge)_
- Operations Monitoring _(transferable_skill)_
- Equipment Maintenance _(transferable_skill)_
- Troubleshooting _(transferable_skill)_
- Repairing _(transferable_skill)_
- Problem Sensitivity _(ability)_
- English Language _(knowledge)_
- Oral Comprehension _(ability)_
- Finger Dexterity _(ability)_
- Near Vision _(ability)_
- Public Safety and Security _(knowledge)_

**Skills in demand:**
- Equipment Maintenance _(Specialized Skill)_
- English Language _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Visualization _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Mathematics _(Common Skill)_
- Information Ordering _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Microsoft Access _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_
- Structured query language SQL _(hot technology)_
- Computerized diagnostic software
- Computerized maintenance management system CMMS
- IBM Maximo Asset Management

## AI exposure & outlook

- **AI task-overlap index:** 22nd percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 19th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 13th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 41st percentile (Moderate) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 49.9% growth (Growing fast); 2.3k annual openings; 13.6k → 20.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $62,580; 11,220 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-49-9081-00_