# Coil Winders, Tapers, and Finishers

> Wind wire coils used in electrical components, such as resistors and transformers, and in electrical equipment and instruments, such as field cores, bobbins, armature cores, electrical motors, generators, and control equipment.

- **SOC code:** 51-2021.00
- **Canonical URL:** https://singulariki.com/roles/role-51-2021-00
- **Also known as:** Armature Winder, Coil Finisher, Coil Winder, Winder, Auto-Winder, Hand Winder, Motor Winder, Winder 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):
- Operate or tend wire-coiling machines to wind wire coils used in electrical components such as resistors and transformers, and in electrical equipment and instruments such as bobbins and generators.
- Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools.
- Review work orders and specifications to determine materials needed and types of parts to be processed.
- Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers.
- Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results.
- Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes.
- Record production and operational data on specified forms.
- Line slots with sheet insulation, and insert coils into slots.
- Apply solutions or paints to wired electrical components, using hand tools, and bake components.
- Stop machines to remove completed components, using hand tools.
- Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Arm-Hand Steadiness _(ability)_
- Education and Training _(knowledge)_
- English Language _(knowledge)_
- Mathematics _(knowledge)_
- Administration and Management _(knowledge)_
- Production and Processing _(knowledge)_
- Mechanical _(knowledge)_
- Manual Dexterity _(ability)_
- Design _(knowledge)_
- Control Precision _(ability)_
- Near Vision _(ability)_
- Monitoring _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Mathematics _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Physics _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_

**Tools & technology:**
- Blueprint display software
- Electronic Systems of Wisconsin Motor Test System software
- Machine Control Specialists CoilPro

## 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.):** 25th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 27th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 20th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 60th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -6.3% growth (Declining); 1.2k annual openings; 12.2k → 11.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $47,260; 12,170 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
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **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-51-2021-00_