Career card

Slaughterers and Meat Packers

Also called: Boning Room Worker, Meat Packer, Meat Processor, Meat Wrapper

Perform nonroutine or precision functions involving the preparation of large portions of meat. Work may include specialized slaughtering tasks, cutting standard or premium cuts of meat for marketing, making sausage, or wrapping meats. Work typically occurs in slaughtering, meat packing, or wholesale establishments.

Share on LinkedIn Download images

LinkedIn posts a link with a summary picture. Images: two pictures to save or post. PDF: the whole card. More

Median pay BLS, 2025$40,130
Openings a year BLS, 2025–357,700
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 +2.0%

What the data says: AI couldn't halve the time on any of its 14 tasks, and jobs are projected to grow 2.0% 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, 3.9% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Butchers and other meat, poultry, and fish processing workers”
  • From Sep 2025 to Aug 2026, 8.4 hires for every 10 job openings in nondurable goods manufacturing, which employs about 91% 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 12% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$30k$50knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$36,360$33,940 to $38,240240
Arizona$49,020$48,950 to $58,870440
Arkansas$37,800$34,030 to $39,0802,140
California$39,420$36,290 to $43,6906,170
Colorado$50,480$45,270 to $57,9501,590
Connecticut$36,290$35,140 to $44,24070
Delaware$31,200$31,200 to $31,20050
Florida$34,430$30,580 to $34,720400
Georgia$36,770$33,340 to $39,5103,660
Hawaii$38,890$35,610 to $45,160120
Idaho$40,370$37,950 to $47,680450
Illinois$44,950$35,310 to $48,8103,360
Indiana$43,770$42,610 to $45,3101,210
Iowa$43,820$39,730 to $44,6804,220
Kansas$48,240$45,800 to $49,4102,170
Kentucky$38,330$37,520 to $42,400320
Louisiana$40,120$30,290 to $40,120650
Maine$38,740$34,440 to $44,47050
Maryland$37,650$34,240 to $39,250130
Massachusetts$37,780$36,390 to $44,950170
Michigan$45,850$41,650 to $53,1202,920
Minnesota$43,360$40,130 to $43,9502,820
Mississippi$33,650$29,270 to $35,6501,100
Missouri$44,490$37,780 to $47,0401,280
Montana$46,700$43,410 to $48,86080
Nebraska$48,910$45,060 to $51,7405,480
Nevada$30,430$30,430 to $35,220140
New Hampshire$39,270$38,840 to $49,26040
New Jersey$45,230$35,560 to $55,8501,050
New Mexico$30,560$29,460 to $30,610not published
New York$33,880$33,790 to $38,9401,750
North Carolina$39,930$35,720 to $46,1806,120
North Dakota$39,730$35,900 to $46,380160
Ohio$36,800$35,630 to $37,6902,440
Oklahoma$45,970$34,770 to $45,9701,560
Oregon$45,980$37,390 to $48,360360
Pennsylvania$37,330$35,790 to $42,0504,410
Puerto Rico$22,710$21,840 to $23,540290
Rhode Island$37,570$37,570 to $47,100280
South Carolina$46,000$37,490 to $46,630250
South Dakota$44,410$38,650 to $45,440740
Tennessee$35,790$34,550 to $40,390650
Texas$43,160$34,320 to $48,3202,950
Utah$44,040$39,680 to $44,280560
Vermont$42,220$34,300 to $47,22050
Virginia$37,430$37,160 to $37,4301,480
Washington$45,100$44,040 to $48,010840
Wisconsin$37,510$35,250 to $49,0402,620

Nationally: $40,130. 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 14 tasks

0 · AI alone could halve the time 0 · AI + software built on it could 14 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Remove bones, and cut meat into standard cuts in preparation for marketing. Not published
Not much Slit open, eviscerate, and trim carcasses of slaughtered animals. Not published
Not much Cut, trim, skin, sort, and wash viscera of slaughtered animals to separate edible portions from offal. Not published
Not much Trim head meat, and sever or remove parts of animals' heads or skulls. Not published
Not much Skin sections of animals or whole animals. Not published
Not much Saw, split, or scribe carcasses into smaller portions to facilitate handling. Not published
See all 14 tasks
Not much Shave or singe and defeather carcasses, and wash them in preparation for further processing or packaging. Not published
Not much Shackle hind legs of animals to raise them for slaughtering or skinning. Not published
Not much Tend assembly lines, performing a few of the many cuts needed to process a carcass. Not published
Not much Sever jugular veins to drain blood and facilitate slaughtering. Not published
Not much Stun animals prior to slaughtering. Not published
Not much Grind meat into hamburger, and into trimmings used to prepare sausages, luncheon meats, and other meat products. Not published
Not much Wrap dressed carcasses or meat cuts. Not published
Not much Trim, clean, or cure animal hides. 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 3 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 14 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most0 of 3 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
Process animal carcasses 0.13#310 0tied #327
Prepare foods or beverages 12#82 0.79#174
Clean workpieces, finished products, or other objects 4.02#145 1.20#155
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 slaughterers and meat packers 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.Slaughterers and meat packers: +2.0%Slaughterers and Meat PackersAI 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.Slaughterers and meat packers: +2.0%Slaughterers and Meat Packers

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 in from

of 1,696 moves in

  1. 1 First-Line Supervisors of Retail Sales Workers High -3.7% 8%
  2. 2 Cashiers High -6.5% 7%
  3. 3 First-Line Supervisors of Production and Operating Workers High +1.8% 6%
  4. 4 Waiters and Waitresses Moderate +2.0% 6%
  5. 5 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 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

  • 29% less than high school
  • 61% high school
  • 11% some college

O*NET 31.0 survey of workers in this occupation · 18 people answered.

Census survey (American Community Survey)

  • 28% less than high school
  • 45% high school
  • 16% some college
  • 5% associate's
  • 4% bachelor's

Census ACS 2024, all workers in the Census group “Butchers and other meat, poultry, and fish processing workers” · 2,230 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

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Butchers and other meat, poultry, and fish processing workers”

Programs that prepare people for it (NCES)
1 program: Meat Cutting/Meat Cutter.

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

How useful is this page?

1 Not useful5 Very useful

Anonymous. Please don't include your name or contact details.