Career card

Riggers

Also called: Machinery Erector, Machinery Mover, Motor Rigger, Rigger

Set up or repair rigging for construction projects, manufacturing plants, logging yards, ships and shipyards, or for the entertainment industry.

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Median pay BLS, 2025$62,640
Openings a year BLS, 2025–351,700
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Moderate
Projected job growth BLS, 2025–35 +3.9%

What the data says: AI could halve the time on 1 of its 14 tasks, and jobs are projected to grow 3.9% 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, 1.8% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 12.8 hires for every 10 job openings in construction, which employs about 35% 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 52% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$37k$106knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$57,980$42,020 to $60,670460
Alaska$58,010$58,010 to $71,87040
Arizona$52,370$51,690 to $63,020250
Arkansas$59,680$39,680 to $121,200120
California$85,730$67,180 to $102,0502,260
Colorado$73,720$64,530 to $85,260310
Connecticut$67,560$55,850 to $79,830350
Florida$52,390$46,840 to $62,640910
Georgia$67,200$58,750 to $91,860700
Hawaii$84,410$71,240 to $90,830170
Idaho$72,850$71,440 to $84,39060
Illinois$81,860$68,210 to $83,290120
Indiana$46,090$40,710 to $53,290330
Iowa$62,400$47,080 to $63,540200
Kansas$41,060$30,120 to $46,61040
Kentucky$50,270$44,870 to $62,280not published
Louisiana$43,660$35,910 to $58,8401,840
Maine$64,910$62,480 to $73,430330
Maryland$91,420$65,100 to $95,540230
Massachusetts$53,500$45,850 to $64,690240
Michigan$58,490$45,020 to $62,590380
Minnesota$87,120$68,790 to $100,960190
Mississippi$63,390$63,130 to $63,390320
Missouri$54,190$42,020 to $75,550190
Nebraska$61,080$47,250 to $77,270100
Nevada$81,720$70,350 to $87,360860
New Jersey$82,130$58,560 to $103,880200
New Mexico$37,440$37,440 to $47,510230
New York$105,600$76,440 to $123,210650
North Carolina$56,640$50,700 to $61,940440
North Dakota$77,890$74,830 to $169,480140
Ohio$58,380$43,320 to $76,280290
Oklahoma$48,490$40,670 to $55,360300
Oregon$94,470$66,130 to $127,020290
Pennsylvania$60,140$48,040 to $73,660360
Rhode Island$64,260$51,980 to $81,540160
South Carolina$51,020$45,390 to $61,430470
Tennessee$47,180$38,740 to $49,330310
Texas$51,980$45,820 to $74,6103,770
Utah$93,640$83,560 to $97,850490
Virginia$63,620$50,310 to $71,0901,920
Washington$77,100$64,000 to $95,560910
Wisconsin$49,640$47,250 to $65,820170

Nationally: $62,640. 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 1 of its 14 tasks

0 · AI alone could halve the time 1 · AI + software built on it could 13 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Test rigging to ensure safety and reliability. Not published
AI + software Signal or verbally direct workers engaged in hoisting and moving loads to ensure safety of workers and materials. Not published
Not much Tilt, dip, and turn suspended loads to maneuver over, under, or around obstacles, using multi-point suspension techniques. Not published
Not much Control movement of heavy equipment through narrow openings or confined spaces, using chainfalls, gin poles, gallows frames, and other equipment. Not published
Not much Attach loads to rigging to provide support or prepare them for moving, using hand and power tools. Not published
Not much Select gear, such as cables, pulleys, and winches, according to load weights and sizes, facilities, and work schedules. Not published
See all 14 tasks
Not much Dismantle and store rigging equipment after use. Not published
Not much Align, level, and anchor machinery. Not published
Not much Load machines onto trucks to prepare for transportation. Not published
Not much Attach pulleys and blocks to fixed overhead structures, such as beams, ceilings, and gin pole booms, using bolts and clamps. Not published
Not much Fabricate, set up, and repair rigging, supporting structures, hoists, and pulling gear, using hand and power tools. Not published
Not much Manipulate rigging lines, hoists, and pulling gear to move or support materials, such as heavy equipment, ships, or theatrical sets. Not published
Not much Clean and dress machine surfaces and component parts. Not published
Not much Install ground rigging for yarding lines, attaching chokers to logs and to the lines. 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 14 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 14 tasks fall under 10 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 up1 of 14 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most0 of 10 activities 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
Set up equipment 20#58 4.69#95
Move materials, equipment, or supplies 0.65#261 0.09#272
Operate lifting or moving equipment 0.09#318 0.02#311
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
Determine resource needs of projects or operations 6.29#111 2.93#115
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Disassemble equipment 2.48#182 0.82#170
Show all 10 activities
Position materials or components for assembly 1.64#208 0.45#213
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
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 riggers 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.Riggers: +3.9%RiggersAI 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.Riggers: +3.9%Riggers

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 3,255 moves out

  1. 1 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  2. 2 Security Guards Moderate +0.9% 5%
  3. 3 First-Line Supervisors of Retail Sales Workers High -3.7% 4%
  4. 4 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 4%
  5. 5 Court, Municipal, and License Clerks Very high +3.4% 3%

Where people moved in from

of 2,475 moves in

  1. 1 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 6%
  2. 2 Office Clerks, General Very high -6.0% 5%
  3. 3 Excavating and Loading Machine and Dragline Operators (2010 group) an older group BLS has since split; no exposure group today 5%
  4. 4 First-Line Supervisors of Retail Sales Workers High -3.7% 4%
  5. 5 Court, Municipal, and License Clerks Very high +3.4% 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

  • 21% less than high school
  • 63% high school
  • 16% postsecondary certificate

O*NET 31.0 survey of workers in this occupation · 25 people answered.

Census survey (American Community Survey)

  • 16% less than high school
  • 34% high school
  • 33% some college
  • 13% associate's
  • 5% bachelor's

Census ACS 2024, all workers in this occupation · 123 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

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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