Career card

Packaging and Filling Machine Operators and Tenders

Also called: Bundler, Filler Operator, Machine Operator, Packaging Operator

Operate or tend machines to prepare industrial or consumer products for storage or shipment. Includes cannery workers who pack food products.

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Median pay BLS, 2025$43,220
Openings a year BLS, 2025–3541,400
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 +4.1%

What the data says: AI could halve the time on 3 of its 20 tasks, and jobs are projected to grow 4.1% 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, 8.6% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 8.4 hires for every 10 job openings in nondurable goods manufacturing, which employs about 73% 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 16% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$36k$49knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$37,820$31,970 to $46,1103,240
Alaska$38,730$36,920 to $47,560260
Arizona$40,560$36,600 to $48,5107,090
Arkansas$37,740$35,360 to $44,8904,630
California$44,020$37,690 to $49,30043,430
Colorado$46,010$38,630 to $50,3004,760
Connecticut$39,460$36,500 to $46,9201,540
Delaware$38,500$36,800 to $45,440680
Florida$37,170$31,840 to $45,35014,010
Georgia$42,920$35,560 to $53,04011,380
Hawaii$36,810$32,270 to $39,200380
Idaho$46,720$37,240 to $52,2603,950
Illinois$43,150$37,590 to $48,03029,400
Indiana$44,600$36,410 to $50,10012,880
Iowa$45,660$40,810 to $51,5606,990
Kansas$44,890$37,770 to $48,6107,920
Kentucky$45,450$38,640 to $52,6208,640
Louisiana$38,370$29,980 to $47,1301,910
Maine$47,970$39,100 to $58,6301,490
Maryland$43,670$37,490 to $59,1603,030
Massachusetts$40,360$37,050 to $47,6805,020
Michigan$41,690$36,290 to $48,51010,940
Minnesota$40,960$37,980 to $48,1807,340
Mississippi$37,720$30,320 to $40,9703,030
Missouri$48,070$42,250 to $57,02012,620
Montana$44,350$36,820 to $50,890380
Nebraska$46,220$38,570 to $49,4004,410
Nevada$37,440$28,860 to $48,5802,700
New Hampshire$49,450$46,420 to $58,030620
New Jersey$40,280$35,350 to $48,6409,810
New Mexico$35,640$31,950 to $39,4701,550
New York$39,330$36,310 to $47,73018,150
North Carolina$41,150$36,160 to $49,19011,870
North Dakota$47,390$43,980 to $51,190760
Ohio$43,310$37,080 to $49,19017,850
Oklahoma$39,310$36,190 to $44,6403,150
Oregon$45,180$38,060 to $52,6305,370
Pennsylvania$44,480$37,250 to $50,23019,340
Puerto Rico$27,970$23,260 to $40,4503,520
Rhode Island$38,330$36,990 to $53,1201,100
South Carolina$40,010$36,930 to $47,2304,890
South Dakota$43,860$38,890 to $46,7901,000
Tennessee$43,190$36,000 to $49,9907,400
Texas$38,950$33,880 to $46,35022,970
Utah$43,780$37,470 to $49,8506,350
Vermont$46,670$38,800 to $49,240880
Virginia$44,950$35,990 to $53,1206,150
Washington$41,700$38,100 to $48,0408,450
West Virginia$46,410$36,870 to $55,560810
Wisconsin$46,220$39,160 to $50,00016,150
Wyoming$48,890$39,000 to $58,800360

Nationally: $43,220. 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 20 tasks

0 · AI alone could halve the time 3 · AI + software built on it could 17 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
AI + software Attach identification labels to finished packaged items, or cut stencils and stencil information on containers, such as lot numbers or shipping destinations. Not published
Not much Remove finished packaged items from machine and separate rejected items. Not published
Not much Inspect and remove defective products and packaging material. Not published
AI + software Stop or reset machines when malfunctions occur, clear machine jams, and report malfunctions to a supervisor. Not published
Not much Observe machine operations to ensure quality and conformity of filled or packaged products to standards. Not published
Not much Start machine by engaging controls. Not published
See all 20 tasks
Not much Sort, grade, weigh, and inspect products, verifying and adjusting product weight or measurement to meet specifications. Not published
Not much Stack finished packaged items, or wrap protective material around each item, and pack the items in cartons or containers. Not published
Not much Stock and sort product for packaging or filling machine operation, and replenish packaging supplies, such as wrapping paper, plastic sheet, boxes, cartons, glue, ink, or labels. Not published
Not much Package the product in the form in which it will be sent out, for example, filling bags with flour from a chute or spout. Not published
Not much Clean, oil, and make minor adjustments or repairs to machinery and equipment, such as opening valves or setting guides. Not published
AI + software Count and record finished and rejected packaged items. Not published
Not much Clean packaging containers, line and pad crates, or assemble cartons to prepare for product packing. Not published
Not much Clean and remove damaged or otherwise inferior materials to prepare raw products for processing. Not published
Not much Monitor the production line, watching for problems such as pile-ups, jams, or glue that isn't sticking properly. Not published
Not much Regulate machine flow, speed, or temperature. Not published
Not much Supply materials to spindles, conveyors, hoppers, or other feeding devices and unload packaged product. Not published
Not much Adjust machine components and machine tension and pressure according to size or processing angle of product. Not published
Not much Tend or operate machine that packages product. Not published
Not much Secure finished packaged items by hand tying, sewing, gluing, stapling, or attaching fastener. 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 20 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 20 tasks fall under 19 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 20 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most0 of 19 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
Package objects 0.69#258 0.14#259
Maintain tools or equipment 4.47#136 1.04#167
Sort materials or products 3.97#147 1.71#135
Monitor equipment operation 1.87#203 0.26#236
Remove workpieces from production equipment 0.06#323 0.05#284
Adjust equipment to ensure adequate performance 20#57 4.31#101
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Clean workpieces, finished products, or other objects 4.02#145 1.20#155
Show all 19 activities
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
Mark materials or objects for identification 3.28#160 0.80#172
Maintain operational records 2.92#170 0.49#209
Notify others of emergencies or problems 2.78#172 4.95#92
Repair tools or equipment 1.87#202 0.18#246
Position workpieces or materials on equipment 0.61#264 0.17#249
Replenish inventories of materials, equipment, or products 0.43#276 0.10#268
Prepare industrial materials for processing or use 0.42#277 0.17#251
Sew garments or materials 0.16#304 0.02#303
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”)
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 packaging and filling machine 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.Packaging and filling machine operators and tenders: +4.1%Packaging and Filling Machine 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.Packaging and filling machine operators and tenders: +4.1%Packaging and Filling Machine 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 11,839 moves out

  1. 1 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 5%
  2. 2 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  3. 3 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  4. 4 Sales Managers High +4.5% 3%
  5. 5 First-Line Supervisors of Production and Operating Workers High +1.8% 2%

Where people moved in from

of 11,939 moves in

  1. 1 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 10%
  2. 2 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  3. 3 Cashiers High -6.5% 4%
  4. 4 Retail Salespersons Very high -0.3% 4%
  5. 5 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 3%

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

  • 80% high school
  • 1% postsecondary certificate
  • 2% associate's
  • 17% not published

O*NET marks 17% of the answers as too uncertain to publish, so the parts shown don't add up to 100%.

O*NET 31.0 survey of workers in this occupation · 21 people answered.

Census survey (American Community Survey)

  • 30% less than high school
  • 45% high school
  • 16% some college
  • 4% associate's
  • 4% bachelor's
  • 1% master's

Census ACS 2024, all workers in this occupation · 2,015 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 this occupation

Jobs that require a credential BLS Occupational Requirements Survey 2023

16.4% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license<0.5%19.1%
an educational certificate<0.5%2.8%
a certificationnot published

Share of jobs whose employer requires it. BLS doesn't say which credential. How to read this

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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