Career card

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

Also called: Spinner, Twister Operator, Winder Operator, Winder Tender

Set up, operate, or tend machines that wind or twist textiles; or draw out and combine sliver, such as wool, hemp, or synthetic fibers. Includes slubber machine and drawing frame operators.

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Median pay BLS, 2025$38,670
Openings a year BLS, 2025–352,400
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -10.3%

What the data says: AI could halve the time on 3 of its 23 tasks, and jobs are projected to shrink 10.3% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 4.5% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Textile machine setters, operators, and tenders”
  • From Sep 2025 to Aug 2026, 8.4 hires for every 10 job openings in nondurable goods manufacturing, which employs about 97% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 10% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$36k$51knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$40,210$35,790 to $41,8501,060
California$43,770$38,520 to $46,520360
Colorado$37,540$37,540 to $37,54090
Connecticut$44,020$37,610 to $45,28040
Florida$36,160$32,760 to $40,12070
Georgia$38,930$37,160 to $39,9008,830
Illinois$36,950$34,220 to $44,560180
Indiana$40,630$37,060 to $47,190230
Louisiana$49,690$35,430 to $49,690110
Maine$40,870$40,420 to $42,490100
Massachusetts$40,270$37,620 to $44,740170
Michigan$36,540$34,310 to $39,420130
Mississippi$37,460$32,220 to $66,72080
Missouri$39,350$37,940 to $42,600not published
Nebraska$36,760$36,760 to $36,92040
New Hampshire$49,190$49,190 to $60,59090
New Jersey$47,230$39,630 to $48,520100
New York$37,220$32,670 to $46,020160
North Carolina$36,580$32,580 to $38,5704,190
Ohio$38,160$33,330 to $51,830150
Pennsylvania$38,830$31,670 to $42,870500
Rhode Island$37,400$36,650 to $41,340240
South Carolina$38,280$36,500 to $42,0702,240
Tennessee$46,720$35,680 to $60,370470
Virginia$50,770$40,080 to $57,2801,530
Washington$47,560$39,630 to $48,870250

Nationally: $38,670. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 3 of its 23 tasks

0 · AI alone could halve the time 3 · AI + software built on it could 20 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
AI + software Notify supervisors or mechanics of equipment malfunctions. Not published
Not much Start machines, monitor operation, and make adjustments as needed. Not published
Not much Stop machines when specified amount of products has been produced. Not published
Not much Tend machines that twist together two or more strands of yarn or insert additional twists into single strands of yarn to increase strength, smoothness, or uniformity of yarn. Not published
Not much Inspect machinery to determine whether repairs are needed. Not published
Not much Thread yarn, thread, or fabric through guides, needles, and rollers of machines. Not published
See all 23 tasks
Not much Inspect products to verify that they meet specifications and to determine whether machine adjustment is needed. Not published
Not much Operate machines for test runs to verify adjustments and to obtain product samples. Not published
Not much Replace depleted supply packages with full packages. Not published
AI + software Record production data such as numbers and types of bobbins wound. Not published
Not much Observe operations to detect defects, malfunctions, or supply shortages. Not published
Not much Remove spindles from machines and bobbins from spindles. Not published
Not much Adjust machine settings such as speed or tension to produce products that meet specifications. Not published
Not much Observe bobbins as they are winding and cut threads to remove loaded bobbins, using knives. Not published
Not much Tend spinning frames that draw out and twist roving or sliver into yarn. Not published
Not much Unwind lengths of yarn, thread, or twine from spools and wind onto bobbins. Not published
Not much Repair or replace worn or defective parts or components, using hand tools. Not published
Not much Place bobbins on spindles and insert spindles into bobbin-winding machines. Not published
AI + software Study guides, samples, charts, and specification sheets, or confer with supervisors or engineering staff to determine setup requirements. Not published
Not much Clean, oil, and lubricate machines, using air hoses, cleaning solutions, rags, oilcans, and grease guns. Not published
Not much Install, level, and align machine components such as gears, chains, guides, dies, cutters, or needles to set up machinery for operation. Not published
Not much Measure bobbins periodically, using gauges, and turn screws to adjust tension if bobbins are not of specified size. Not published
Not much Tend machines with multiple winding units that wind thread onto shuttle bobbins for use on sewing machines or other kinds of bobbins for sole-stitching, knitting, or weaving machinery. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 0 of the 23 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 23 tasks fall under 21 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up3 of 23 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 21 activities
  • #8 Read documents or materials to inform work processes
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Operate cutting or grinding equipment 0.54#267 0.01#321
Position workpieces or materials on equipment 0.61#264 0.17#249
Monitor equipment operation 1.87#203 0.26#236
Read documents or materials to inform work processes 197#8 47#28
Adjust equipment to ensure adequate performance 20#57 4.31#101
Set up equipment 20#58 4.69#95
Communicate with others about operational plans or activities 9.39#92 28#39
Test performance of equipment or systems 9.09#97 2.28#123
Show all 21 activities
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Maintain tools or equipment 4.47#136 1.04#167
Inspect completed work or finished products 3.91#150 1.95#130
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Maintain operational records 2.92#170 0.49#209
Notify others of emergencies or problems 2.78#172 4.95#92
Cut materials 2.75#173 0.50#207
Disassemble equipment 2.48#182 0.82#170
Repair tools or equipment 1.87#202 0.18#246
Inspect commercial, industrial, or production systems or equipment 0.84#245 0.32#232
Replenish inventories of materials, equipment, or products 0.43#276 0.10#268
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
Remove workpieces from production equipment 0.06#323 0.05#284
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Notify others of emergencies or problems” holds 1 task rated AI + software, yet people asked AI for help with it in 2.78 of every 10,000 conversations, #172 of 332.
How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for textile winding, twisting, and drawing out machine setters, operators, and tenders specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Textile winding, twisting, and drawing out machine setters, operators, and tenders: -10.3%Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and TendersAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Textile winding, twisting, and drawing out machine setters, operators, and tenders: -10.3%Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 9,331 moves out

  1. 1 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 6%
  2. 2 Engineers, All Other Very high +3.7% 2%
  3. 3 Self-Enrichment Teachers High +3.5% 2%
  4. 4 Postsecondary Teachers, All Other Very high +2.0% 2%
  5. 5 First-Line Supervisors of Retail Sales Workers High -3.7% 2%

Where people moved in from

of 7,217 moves in

  1. 1 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  2. 2 First-Line Supervisors of Food Preparation and Serving Workers High +5.4% 3%
  3. 3 Customer Service Representatives Very high -5.3% 3%
  4. 4 Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop High +3.4% 2%
  5. 5 First-Line Supervisors of Retail Sales Workers High -3.7% 2%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 54% less than high school
  • 46% high school

O*NET 31.0 survey of workers in this occupation · 22 people answered.

Census survey (American Community Survey)

  • 34% less than high school
  • 31% high school
  • 16% some college
  • 10% associate's
  • 7% bachelor's
  • 2% master's

Census ACS 2024, all workers in the Census group “Textile machine setters, operators, and tenders” · 131 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Jobs that require a credential BLS Occupational Requirements Survey 2023

BLS publishes no credential figures for this occupation.

Look up certifications, training and licenses U.S. Department of Labor

  • Certification Finder ↗ certifications CareerOneStop lists for this occupation
  • Training Finder ↗ schools and programs, nationwide; narrow the place there
  • License Finder ↗ licenses by state
  • Apprenticeship Finder ↗ DOL lists 1 registered apprenticeship in this occupation (MACHINE FIXER (Textile)). Apprenticeship.gov can't be linked to one occupation, so search for “Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders” there.

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

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