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 →Coil Winders, Tapers, and Finishers
Occupation · SOC 51-2021.00
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.
Also called: Armature Winder · Coil Finisher · Coil Winder · Winder · Auto-Winder · Hand Winder · Motor Winder · Winder Operator · Armature Bander · Armature Connector · Coil Builder · Coil Connector
Job family: Production Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-51-2021-00/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.
- Declining employment outlook (-6.3% by 2034)
- 1,200 openings/yr
- Low AI exposure
- Median pay $47,260/yr
- Work is mostly on-site (not teleworkable)
- 2013 flagged this for computerization (60th); today's AI task-overlap is comparatively low (22nd)
22nd-percentile task overlap — yet about 1,200 openings a year (-6.3% 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 | 25th | -0.8 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 27th | 0.2 | |
| AI assistant applicability (Microsoft) Low | 20th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.2), and including AI-powered software (γ 0.2). 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.
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 0.7 · 60th percentile among occupations · Moderate
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -6.3% by 2034 |
| Projected annual openings | 1,200 |
| Employment 2024 → 2034 | 12,200 → 11,500 |
“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.
Coil Winders, Tapers, and Finishers sits at the 52nd 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.
28% mean task exposure (2025)
52nd percentile of 427 placed occupations
−8 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Electrical and Electronic Equipment Assemblers · 8212 | 28% | Minimal |
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 11 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- 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. Core · importance 4.6
- Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools. Core · importance 4.4
- Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers. Core · importance 4.4
- Review work orders and specifications to determine materials needed and types of parts to be processed. Core · importance 4.4
- Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results. Supplemental · importance 4.4
- Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes. Core · importance 4.3
- Record production and operational data on specified forms. Core · importance 4.2
- Line slots with sheet insulation, and insert coils into slots. Supplemental · importance 4.1
- Apply solutions or paints to wired electrical components, using hand tools, and bake components. Supplemental · importance 3.9
- Stop machines to remove completed components, using hand tools. Core · importance 3.8
- Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools. Supplemental · importance 3.7
Work activities
- Operate metal or plastic forming equipment.
- Read work orders or other instructions to determine product specifications or materials requirements.
- Assemble electrical or electronic equipment.
- Cut industrial materials in preparation for fabrication or processing.
- Select production input materials.
- Load materials into production equipment.
- Record operational or production data.
- Trim excess material from workpieces.
- Remove products or workpieces from production equipment.
- Test electrical equipment or systems to ensure proper functioning.
- Apply protective or decorative finishes to workpieces or products.
- Operate heating or drying equipment.
- Disassemble equipment for maintenance or repair.
- Repair production equipment or tools.
- Maintain production or processing equipment.
- Assemble metal or plastic parts or products.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Abilities
| Arm-Hand Steadiness | 3.8 | |
| Manual Dexterity | 3.4 | |
| Control Precision | 3.3 | |
| Near Vision | 3.3 | |
| Problem Sensitivity | 3.1 | |
| Selective Attention | 3.1 | |
| Finger Dexterity | 3.1 | |
| Oral Comprehension | 3.0 | |
| Oral Expression | 3.0 | |
| Deductive Reasoning | 3.0 | |
| Speech Recognition | 3.0 | |
| Speech Clarity | 3.0 | |
| Written Comprehension | 2.9 | |
| Inductive Reasoning | 2.9 | |
| Information Ordering | 2.9 | |
| Multilimb Coordination | 2.9 | |
| Far Vision | 2.9 | |
| Category Flexibility | 2.8 | |
| Perceptual Speed | 2.8 | |
| Reaction Time | 2.8 |
Knowledge
| Education and Training | 3.7 | |
| English Language | 3.6 | |
| Mathematics | 3.6 | |
| Administration and Management | 3.6 | |
| Production and Processing | 3.5 | |
| Mechanical | 3.5 | |
| Design | 3.3 | |
| Computers and Electronics | 3.1 | |
| Customer and Personal Service | 2.9 | |
| Engineering and Technology | 2.8 | |
| Physics | 2.8 |
Essential skills
| Monitoring | 3.1 | |
| Active Listening | 3.0 | |
| Reading Comprehension | 2.9 | |
| Speaking | 2.9 | |
| Critical Thinking | 2.9 |
Transferable skills
| Operations Monitoring | 3.1 | |
| Operation and Control | 3.0 | |
| Coordination | 2.9 | |
| Judgment and Decision Making | 2.8 |
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
| Example | Category | |
|---|---|---|
| Blueprint display software | Graphics or photo imaging software | |
| Electronic Systems of Wisconsin Motor Test System software | Analytical or scientific software | |
| Machine Control Specialists CoilPro | Industrial control software |
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 2 — Job Zone 1-2: Very Little to Some Preparation Needed
- Education
- Usually requires a high school diploma or GED, though some occupations may not.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- Preparation level
- SVP (Below 6.0) — total schooling plus on-the-job experience.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 57.2% | |
| Post-Secondary Certificate | 40.9% | |
| Less than a High School Diploma | 1.6% | |
| Associate's Degree (or other 2-year degree) | 0.3% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Realistic | 6.5 | |
| Conventional | 4.2 | |
| Investigative | 2.3 | |
| Enterprising | 1.4 |
Interest areas
Work styles
| Attention to Detail | 2.5 | |
| Dependability | 2.1 | |
| Cautiousness | 1.6 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $35,180 |
| 25th percentile | $39,380 |
| Median (50th) | $47,260 |
| 75th percentile | $57,800 |
| 90th percentile | $62,790 |
| People employed | 12,170 |
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 |
|---|---|---|
| Manufacturing · Sector | 11,190 | $47,220 |
| Other Services (except Public Administration) · Sector | 630 | $53,730 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 220 | $46,350 |
| Temporary Help Services · National industry | 190 | $45,030 |
| Wholesale Trade · Sector | 110 | $42,290 |
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 |
|---|---|---|
| Manufacturing · Sector | 11.11× | 11,190 |
| Other Services (except Public Administration) · Sector | 1.8× | 630 |
| Temporary Help Services · National industry | 0.91× | 190 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.31× | 220 |
| Wholesale Trade · Sector | 0.23× | 110 |
Related occupations
Part of the Energy & Natural Resources career cluster.
- Electrical and Electronic Equipment Assemblers · 51-2022.00 Compare →
- Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic · 51-4034.00 Compare →
- Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers · 51-6091.00 Compare →
- Tool Grinders, Filers, and Sharpeners · 51-4194.00 Compare →
- Cutting and Slicing Machine Setters, Operators, and Tenders · 51-9032.00 Compare →
- Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders · 51-4122.00 Compare →
- Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic · 51-4081.00 Compare →
- Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic · 51-4033.00 Compare →
- Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic · 51-4035.00 Compare →
- Engine and Other Machine Assemblers · 51-2031.00 Compare →
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- Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic · 51-4031.00 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 Coil Winders, Tapers, and Finishers — 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.
- Electrical and Electronic Equipment Assemblers Compare →
- Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic Compare →
- Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers Compare →
- Tool Grinders, Filers, and Sharpeners Compare →
- Cutting and Slicing Machine Setters, Operators, and Tenders Compare →
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
Zoom out
On the global GenAI exposure gradient this work sits around the 52nd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Coil Winders, Tapers, and Finishers show 22nd-percentile AI task overlap — and about 1,200 annual U.S. openings
- Coil Winders, Tapers, and Finishers 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 1,200 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 declining (-6.3%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $47,260, across about 12,170 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Coil Winders, Tapers, and Finishers show 22nd-percentile AI task overlap — and about 1,200 annual U.S. openings • Coil Winders, Tapers, and Finishers 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 1,200 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 declining (-6.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $47,260, across about 12,170 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Coil Winders, Tapers, and Finishers". https://singulariki.com/roles/role-51-2021-00 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)
- 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. "Coil Winders, Tapers, and Finishers." 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-51-2021-00
APA
Singulariki. (2026). Coil Winders, Tapers, and Finishers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-2021-00
BibTeX
@misc{singulariki-role-51-2021-00,
title = {Coil Winders, Tapers, and Finishers},
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-51-2021-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.