Career card

Food Cooking Machine Operators and Tenders

Also called: Fryer Operator, Kettle Fry Cook Operator, Machine Operator, Retort Operator

Operate or tend cooking equipment, such as steam cooking vats, deep fry cookers, pressure cookers, kettles, and boilers, to prepare food products.

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$41,590
Openings a year BLS, 2025–353,700
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -0.3%

What the data says: AI could halve the time on 1 of its 17 tasks, and jobs are projected to shrink 0.3% 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, 7.0% 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 81% 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 14% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$27k$51knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$27,080$27,080 to $36,190250
Arizona$44,050$34,660 to $49,690560
Arkansas$40,480$38,180 to $46,310330
California$44,740$37,790 to $48,0802,010
Colorado$46,900$44,050 to $51,440300
Connecticut$38,880$35,760 to $48,38060
Delaware$31,240$31,240 to $39,530not published
Florida$36,450$31,980 to $42,520970
Georgia$38,440$36,260 to $43,020690
Idaho$45,120$38,520 to $59,310790
Illinois$42,670$36,490 to $47,2002,460
Indiana$43,350$40,280 to $47,400540
Iowa$47,900$46,380 to $49,880850
Kansas$45,850$43,360 to $47,050750
Kentucky$41,800$38,040 to $52,780300
Louisiana$44,440$31,540 to $61,350550
Maine$37,500$37,140 to $49,830170
Maryland$36,960$36,500 to $39,790not published
Massachusetts$47,960$41,030 to $50,250170
Michigan$47,260$43,880 to $50,680380
Minnesota$47,250$47,130 to $48,6801,410
Mississippi$31,150$31,110 to $34,240110
Missouri$42,160$36,520 to $48,600620
Nebraska$45,420$36,790 to $48,420670
Nevada$36,610$31,680 to $36,610not published
New Hampshire$40,440$36,330 to $40,440110
New Jersey$37,180$32,290 to $41,350430
New York$45,680$41,590 to $55,7401,300
North Carolina$39,070$30,150 to $44,250770
Ohio$41,160$36,910 to $48,580980
Oklahoma$36,030$35,990 to $43,6901,140
Oregon$44,530$38,940 to $46,990570
Pennsylvania$42,710$37,160 to $47,0501,580
Puerto Rico$25,480$25,480 to $27,830220
South Carolina$38,220$38,030 to $38,320520
South Dakota$39,270$33,050 to $42,860120
Tennessee$45,620$41,200 to $55,2701,820
Texas$33,980$29,580 to $37,1003,180
Utah$48,620$37,070 to $52,630390
Virginia$35,140$31,720 to $41,990510
Washington$51,100$47,580 to $56,850310
Wisconsin$40,000$39,300 to $50,600850

Nationally: $41,590. 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 17 tasks

0 · AI alone could halve the time 1 · AI + software built on it could 16 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Clean, wash, and sterilize equipment and cooking area, using water hoses, cleaning or sterilizing solutions, or rinses. Not published
Not much Read work orders, recipes, or formulas to determine cooking times and temperatures, and ingredient specifications. Not published
AI + software Record production and test data, such as processing steps, temperature and steam readings, cooking time, batches processed, and test results. Not published
Not much Measure or weigh ingredients, using scales or measuring containers. under 0.01%
Not much Observe gauges, dials, and product characteristics, and adjust controls to maintain appropriate temperature, pressure, and flow of ingredients. Not published
Not much Tend or operate and control equipment, such as kettles, cookers, vats and tanks, and boilers, to cook ingredients or prepare products for further processing. Not published
See all 17 tasks
Not much Listen for malfunction alarms, and shut down equipment and notify supervisors when necessary. Not published
Not much Remove cooked material or products from equipment. Not published
Not much Pour, dump, or load prescribed quantities of ingredients or products into cooking equipment, manually or using a hoist. Not published
Not much Turn valves or start pumps to add ingredients or drain products from equipment and to transfer products for storage, cooling, or further processing. Not published
Not much Set temperature, pressure, and time controls, and start conveyers, machines, or pumps. Not published
Not much Collect and examine product samples during production to test them for quality, color, content, consistency, viscosity, acidity, or specific gravity. Not published
Not much Notify or signal other workers to operate equipment or when processing is complete. Not published
Not much Admit required amounts of water, steam, cooking oils, or compressed air into equipment, such as by opening water valves to cool mixtures to the desired consistency. Not published
Not much Activate agitators and paddles to mix or stir ingredients, stopping machines when ingredients are thoroughly mixed. Not published
Not much Place products on conveyors or carts, and monitor product flow. Not published
Not much Operate auxiliary machines and equipment, such as grinders, canners, and molding presses, to prepare or further process products. 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. 1 of the 17 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 17 tasks fall under 17 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 17 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 17 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
Adjust equipment to ensure adequate performance 20#57 4.31#101
Operate industrial processing or production equipment 0.13#309 0.02#301
Monitor equipment operation 1.87#203 0.26#236
Read documents or materials to inform work processes 197#8 47#28
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
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
Maintain operational records 2.92#170 0.49#209
Show all 17 activities
Notify others of emergencies or problems 2.78#172 4.95#92
Collect samples of products or materials 0.70#256 0.13#262
Move materials, equipment, or supplies 0.65#261 0.09#272
Operate cutting or grinding equipment 0.54#267 0.01#321
Signal others to coordinate work activities 0.33#283 0.74#179
Operate pumping systems or equipment 0.16#307 0.02#297
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
Operate lifting or moving equipment 0.09#318 0.02#311
Remove workpieces from production equipment 0.06#323 0.05#284
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

  • A recipe or meal plan44%
  • Math or a calculation24%
  • Advice or a recommendation9%
  • Data or a spreadsheet9%
  • An explanation or answer9%

How they worked with Claude

53% handed the task off47% worked on it together

6% 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 food cooking 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.Food cooking machine operators and tenders: -0.3%Food Cooking 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.Food cooking machine operators and tenders: -0.3%Food Cooking 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 1,475 moves out

  1. 1 General and Operations Managers High +5.0% 5%
  2. 2 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  3. 3 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 4%
  4. 4 Sales Managers High +4.5% 3%
  5. 5 Management Analysts Very high +10.1% 3%

Where people moved in from

of 1,580 moves in

  1. 1 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 7%
  2. 2 Retail Salespersons Very high -0.3% 5%
  3. 3 General and Operations Managers High +5.0% 5%
  4. 4 Cooks, Restaurant Moderate +12.1% 4%
  5. 5 Team Assemblers 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

  • 86% high school
  • 14% postsecondary certificate

O*NET 31.0 survey of workers in this occupation · 17 people answered.

Census survey (American Community Survey)

  • 24% less than high school
  • 37% high school
  • 15% some college
  • 13% associate's
  • 11% bachelor's
  • 1% master's

Census ACS 2024, all workers in this occupation · 101 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

How useful is this page?

1 Not useful5 Very useful

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