Career card

Engine and Other Machine Assemblers

Also called: Assembler, Assembly Line Worker, Engine Assembler, Machine Assembler

Construct, assemble, or rebuild machines, such as engines, turbines, and similar equipment used in such industries as construction, extraction, textiles, and paper manufacturing.

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Median pay BLS, 2025$53,710
Openings a year BLS, 2025–352,100
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -17.0%

What the data says: AI couldn't halve the time on any of its 12 tasks, and jobs are projected to shrink 17.0% 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, 3.6% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 5.4 hires for every 10 job openings in durable goods manufacturing, which employs about 93% 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 39% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$36k$75knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabamanot publishednot published2,520
Arizona$54,100$45,850 to $58,99080
Arkansas$54,620$49,170 to $60,59070
California$46,810$39,550 to $62,8101,170
Colorado$46,070$46,070 to $47,480not published
Connecticut$61,320$49,120 to $80,400170
Florida$52,660$45,700 to $62,510800
Georgia$38,540$37,010 to $58,250410
Idaho$54,240$49,390 to $63,56070
Illinois$49,630$45,710 to $50,390650
Iowa$46,040$43,220 to $53,03060
Kansas$42,590$42,590 to $50,050not published
Kentucky$41,580$38,410 to $46,3101,180
Maryland$39,120$39,120 to $43,73090
Massachusetts$46,880$43,410 to $61,170500
Michigan$60,950$44,630 to $75,7705,030
Minnesota$58,820$45,800 to $70,260270
Mississippi$46,610$34,740 to $56,180580
Missouri$46,720$45,060 to $53,1701,020
Nebraska$49,590$44,050 to $52,080110
New Hampshire$70,150$60,140 to $79,620160
New Jersey$50,910$49,930 to $68,340140
New York$46,460$45,550 to $58,5501,330
North Carolina$45,750$38,780 to $58,4502,750
Ohio$74,750$61,680 to $79,3203,430
Oklahoma$45,060$35,310 to $60,980130
Oregon$63,420$54,860 to $66,320110
Pennsylvania$52,000$45,910 to $59,30090
South Carolina$46,950$44,390 to $52,3401,960
South Dakota$45,930$38,790 to $48,980550
Tennessee$46,810$46,360 to $62,340430
Texas$47,210$40,680 to $54,320490
Utah$48,730$47,010 to $59,240150
Virginia$36,030$35,670 to $55,760570
Washington$72,800$57,760 to $104,470370
Wisconsin$54,240$47,440 to $60,010860

Nationally: $53,710. 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 none of its 12 tasks

0 · AI alone could halve the time 0 · AI + software built on it could 12 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Position or align components for assembly, manually or using hoists. Not published
Not much Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations. Not published
Not much Rework, repair, or replace damaged parts or assemblies. Not published
Not much Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications. Not published
Not much Set and verify parts clearances. Not published
Not much Remove rough spots and smooth surfaces to fit, trim, or clean parts, using hand tools or power tools. Not published
See all 12 tasks
Not much Fasten or install piping, fixtures, or wiring and electrical components to form assemblies or subassemblies, using hand tools, rivet guns, or welding equipment. Not published
Not much Verify conformance of parts to stock lists or blueprints, using measuring instruments such as calipers, gauges, or micrometers. Not published
Not much Lay out and drill, ream, tap, or cut parts for assembly. Not published
Not much Maintain and lubricate parts or components. Not published
Not much Assemble systems of gears by aligning and meshing gears in gearboxes. Not published
Not much Set up and operate metalworking machines, such as milling or grinding machines, to shape or fabricate parts. 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 12 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 12 tasks fall under 15 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 up0 of 12 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 15 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
Assemble equipment or components 2.35#187 0.43#218
Position materials or components for assembly 1.64#208 0.45#213
Read documents or materials to inform work processes 197#8 47#28
Plan work activities 21#55 14#57
Set up equipment 20#58 4.69#95
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Maintain tools or equipment 4.47#136 1.04#167
Repair workpieces or products 4.07#144 0.68#186
Show all 15 activities
Inspect completed work or finished products 3.91#150 1.95#130
Cut materials 2.75#173 0.50#207
Repair tools or equipment 1.87#202 0.18#246
Smooth surfaces of objects or equipment 1.07#231 0.35#228
Operate cutting or grinding equipment 0.54#267 0.01#321
Drill holes in earth or materials 0.44#275 0.08#274
Operate industrial processing or production equipment 0.13#309 0.02#301
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”)
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 engine and other machine assemblers 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.Engine and other machine assemblers: -17.0%Engine and Other Machine AssemblersAI 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.Engine and other machine assemblers: -17.0%Engine and Other Machine Assemblers

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 1,207 moves out

  1. 1 Maintenance and Repair Workers, General Low +4.2% 12%
  2. 2 Industrial Engineering Technologists and Technicians High +3.1% 8%
  3. 3 Drafters, All Other Very high -7.3% 6%
  4. 4 Textile Cutting Machine Setters, Operators, and Tenders Moderate -13.6% 6%
  5. 5 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 6%

Where people moved in from

of 1,191 moves in

  1. 1 Maintenance and Repair Workers, General Low +4.2% 10%
  2. 2 Industrial Engineering Technologists and Technicians High +3.1% 8%
  3. 3 Textile Cutting Machine Setters, Operators, and Tenders Moderate -13.6% 7%
  4. 4 Drafters, All Other Very high -7.3% 5%
  5. 5 Aircraft Mechanics and Service Technicians Low +5.4% 4%

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

  • 11% less than high school
  • 64% high school
  • 13% postsecondary certificate
  • 5% some college
  • 7% master's

O*NET 31.0 survey of workers in this occupation · 32 people answered.

Census survey (American Community Survey)

  • 6% less than high school
  • 44% high school
  • 27% some college
  • 12% associate's
  • 6% bachelor's
  • 2% master's
  • 2% doctorate

Census ACS 2024, all workers in this occupation · 113 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

Programs that prepare people for it (NCES)
1 program: Engine Machinist.

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

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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