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Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders vs Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders and Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic
Median pay · BLS OEWS
$37,660
$48,620
Employment · BLS OEWS
20,600
18,970
AI exposure (percentile) · task overlap, not automation
13th pct
49th pct

At a glance

Dimension Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic
Median pay $37,660 $48,620
Employment 20,600 18,970
Employment outlook (2024–34) · BLS projection Declining (-9.0%) Declining (-13.6%)
Annual openings · BLS projection 2,500 1,500
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Usually requires a high school diploma or GED, though some occupations may not.
AI exposure · published exposure studies Low · 13th pct Moderate · 49th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 19th pct · 16% of tasks 26th pct · 18% of tasks
Observed AI use · Anthropic Economic Index — —
Mostly remote-capable · Dingel–Neiman No No

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Operations Monitoring, Arm-Hand Steadiness, Operation and Control, Control Precision, Production and Processing, Manual Dexterity, Finger Dexterity, Reaction Time, Multilimb Coordination, Trunk Strength, Near Vision, Administration and Management, Quality Control Analysis, Problem Sensitivity, Selective Attention, Static Strength, Mechanical, Active Listening, Monitoring, Oral Expression, Category Flexibility, Perceptual Speed, Visualization, Rate Control, Far Vision, Deductive Reasoning, Information Ordering.

Specific to Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders

  • Speaking
  • Extent Flexibility
  • Public Safety and Security
  • Critical Thinking
  • Flexibility of Closure
  • Wrist-Finger Speed
  • Visual Color Discrimination
  • Auditory Attention

Specific to Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic

  • Engineering and Technology
  • Education and Training
  • Customer and Personal Service
  • English Language
  • Mathematics
  • Oral Comprehension
  • Reading Comprehension
  • Equipment Maintenance

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Specific to Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders

Specific to Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic

Full profiles

This page is a summary. See the complete source-backed profile for Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders or Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders vs Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic." 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/compare/textile-winding-twisting-and-drawing-out-machine-setters-operators-and-tenders-vs-lathe-and-turning-machine-tool-setters-operators-and-tenders-metal-and-plastic

APA

Singulariki. (2026). Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders vs Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/textile-winding-twisting-and-drawing-out-machine-setters-operators-and-tenders-vs-lathe-and-turning-machine-tool-setters-operators-and-tenders-metal-and-plastic

BibTeX 
@misc{singulariki-textile-winding-twisting-and-drawing-out-machine-setters-operators-and-tenders-vs-lathe-and-turning-machine-tool-setters-operators-and-tenders-metal-and-plastic,
  title  = {Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders vs Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic},
  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/compare/textile-winding-twisting-and-drawing-out-machine-setters-operators-and-tenders-vs-lathe-and-turning-machine-tool-setters-operators-and-tenders-metal-and-plastic}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.