Career card

Packers and Packagers, Hand

Also called: Bagger, Packager, Packer, Selector Packer

Pack or package by hand a wide variety of products and materials.

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Median pay BLS, 2025$36,280
Openings a year BLS, 2025–3561,800
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -5.0%

What the data says: AI could halve the time on 2 of its 12 tasks, and jobs are projected to shrink 5.0% 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, 9.4% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 9.1 hires for every 10 job openings in retail trade, which employs about 26% 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 5% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$28k$44knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$31,770$26,760 to $37,3007,050
Alaska$41,670$34,960 to $47,010560
Arizona$37,060$32,970 to $42,7307,380
Arkansas$33,930$30,920 to $36,8403,050
California$37,260$35,290 to $42,42079,730
Colorado$40,730$37,850 to $46,5804,120
Connecticut$35,890$34,430 to $39,4704,280
Delaware$37,290$36,170 to $40,0002,030
District of Columbia$40,910$37,140 to $43,990170
Florida$28,280$27,600 to $34,64038,860
Georgia$33,260$27,840 to $37,90017,380
Guam$21,030$20,860 to $22,030240
Hawaii$35,930$30,140 to $42,8302,010
Idaho$36,920$28,660 to $42,9502,020
Illinois$36,090$34,230 to $40,02023,270
Indiana$37,420$33,430 to $43,8509,690
Iowa$37,470$33,260 to $43,0104,090
Kansas$44,460$38,020 to $44,5709,900
Kentucky$36,850$33,090 to $45,2505,900
Louisiana$27,710$21,860 to $36,6602,280
Maine$36,330$30,660 to $41,9301,460
Maryland$35,860$33,220 to $40,0204,230
Massachusetts$34,200$32,520 to $37,36015,330
Michigan$35,340$31,270 to $37,97015,590
Minnesota$40,310$36,650 to $46,9505,460
Mississippi$33,240$27,060 to $35,7803,490
Missouri$37,670$33,440 to $40,2405,910
Montana$34,960$28,730 to $43,2001,490
Nebraska$38,880$35,630 to $45,9103,010
Nevada$37,400$34,950 to $41,6003,750
New Hampshire$30,700$29,400 to $34,6103,300
New Jersey$43,840$36,030 to $44,93071,260
New Mexico$28,070$26,160 to $35,5901,050
New York$37,260$34,230 to $43,36014,830
North Carolina$34,360$29,130 to $39,04019,600
North Dakota$31,440$26,890 to $39,640470
Ohio$37,000$32,370 to $40,80020,700
Oklahoma$34,520$28,190 to $40,2403,900
Oregon$36,190$33,700 to $40,1706,370
Pennsylvania$36,960$33,640 to $42,38022,990
Puerto Rico$21,840$21,840 to $22,0503,840
Rhode Island$36,730$31,480 to $44,5701,830
South Carolina$32,180$27,660 to $37,8607,610
South Dakota$28,760$27,980 to $36,1201,040
Tennessee$35,980$30,470 to $40,46014,030
Texas$33,090$28,330 to $37,19046,510
Utah$36,060$30,640 to $39,8405,740
Vermont$39,440$36,460 to $43,640810
Virgin Islands$22,880$21,960 to $27,200100
Virginia$35,000$29,360 to $39,9507,790
Washington$39,220$35,880 to $45,31011,940
West Virginia$28,740$27,660 to $36,6701,140
Wisconsin$36,010$31,300 to $43,25013,130
Wyoming$32,110$28,250 to $36,340340

Nationally: $36,280. 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 2 of its 12 tasks

0 · AI alone could halve the time 2 · AI + software built on it could 10 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Examine and inspect containers, materials, or products to ensure that product quality and packing specifications are met. Not published
Not much Measure, weigh, and count products and materials. under 0.01%
AI + software Mark and label containers, container tags, or products, using marking tools. Not published
AI + software Record product, packaging, and order information on specified forms and records. Not published
Not much Assemble, line, and pad cartons, crates, and containers, using hand tools. Not published
Not much Clean containers, materials, supplies, or work areas, using cleaning solutions and hand tools. Not published
See all 12 tasks
Not much Seal containers or materials, using glues, fasteners, nails, and hand tools. Not published
Not much Obtain, move, and sort products, materials, containers, and orders, using hand tools. under 0.01%
Not much Remove completed or defective products or materials, placing them on moving equipment, such as conveyors, or in specified areas, such as loading docks. Not published
Not much Load materials and products into package processing equipment. Not published
Not much Place or pour products or materials into containers, using hand tools and equipment, or fill containers from spouts or chutes. Not published
Not much Transport packages to customers' vehicles. 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. 2 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 11 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 up2 of 12 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most0 of 11 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
Move materials, equipment, or supplies 0.65#261 0.09#272
Set up equipment 20#58 4.69#95
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Sort materials or products 3.97#147 1.71#135
Inspect completed work or finished products 3.91#150 1.95#130
Monitor operations to ensure adequate performance 3.59#153 0.73#180
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Show all 11 activities
Mark materials or objects for identification 3.28#160 0.80#172
Dispose of waste or debris 3.05#166 0.57#192
Maintain operational records 2.92#170 0.49#209
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: “Maintain operational records” holds 1 task rated AI + software, yet people asked AI for help with it in 2.92 of every 10,000 conversations, #170 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • An explanation or answer32%
  • Configuration or infrastructure16%
  • Data or a spreadsheet8%
  • Math or a calculation8%
  • An analysis or summary5%

How they worked with Claude

80% handed the task off20% worked on it together

35% of these conversations were about work. Anthropic Economic Index, May 2026.

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 packers and packagers, hand 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.Packers and packagers, hand: -5.0%Packers and Packagers, HandAI 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.Packers and packagers, hand: -5.0%Packers and Packagers, Hand

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 38,581 moves out

  1. 1 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 6%
  2. 2 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 6%
  3. 3 Customer Service Representatives Very high -5.3% 5%
  4. 4 Cashiers High -6.5% 4%
  5. 5 Retail Salespersons Very high -0.3% 3%

Where people moved in from

of 33,220 moves in

  1. 1 Cashiers High -6.5% 8%
  2. 2 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 8%
  3. 3 Customer Service Representatives Very high -5.3% 6%
  4. 4 Retail Salespersons Very high -0.3% 4%
  5. 5 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 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

  • 33% less than high school
  • 54% high school
  • 14% some college

O*NET 31.0 survey of workers in this occupation · 23 people answered.

Census survey (American Community Survey)

  • 28% less than high school
  • 43% high school
  • 17% some college
  • 5% associate's
  • 6% bachelor's
  • 1% master's

Census ACS 2024, all workers in this occupation · 4,464 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

2.3% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license<0.5%19.1%
a certification<0.5%5.8%
an educational certificate<0.5%2.8%

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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