Career card

Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders

Also called: Coffee Roaster, Machine Operator, Roaster, Roasterman

Operate or tend food or tobacco roasting, baking, or drying equipment, including hearth ovens, kiln driers, roasters, char kilns, and vacuum drying equipment.

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Median pay BLS, 2025$44,810
Openings a year BLS, 2025–352,500
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 +0.4%

What the data says: AI could halve the time on 2 of its 19 tasks, and jobs are projected to grow 0.4% 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, 0.6% 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 80% 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 19% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$35k$77knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alaska$55,280$44,750 to $56,37030
Arizona$43,010$38,750 to $48,73090
Arkansas$45,080$37,600 to $47,710580
California$45,600$38,370 to $49,0301,630
Colorado$59,590$45,970 to $64,970500
Connecticut$41,720$38,790 to $46,26060
Florida$35,340$28,400 to $41,300360
Georgia$37,390$34,460 to $42,290290
Hawaii$45,390$38,740 to $46,24090
Idaho$48,250$38,970 to $48,900430
Illinois$38,230$38,160 to $42,650440
Indiana$43,370$40,730 to $47,390260
Iowa$47,960$45,110 to $52,650660
Kansas$44,550$43,360 to $45,890220
Kentucky$48,540$32,720 to $64,470340
Louisiana$38,440$34,300 to $44,80080
Maine$50,220$44,790 to $52,090100
Maryland$60,170$47,230 to $78,750200
Massachusetts$45,400$41,360 to $50,590190
Michigan$48,240$40,920 to $51,790700
Minnesota$50,340$46,960 to $65,7801,120
Mississippi$37,030$33,320 to $39,14060
Missouri$43,460$37,200 to $47,4401,030
Montana$35,360$32,370 to $43,680130
Nebraska$43,410$38,680 to $52,850440
Nevada$54,950$48,570 to $60,620130
New Jersey$37,140$37,140 to $40,950630
New Mexico$35,480$33,730 to $44,74070
New York$49,020$43,570 to $53,0301,370
North Carolina$35,980$28,920 to $53,5801,510
North Dakota$77,300$50,350 to $77,32030
Ohio$44,190$37,790 to $45,030910
Oklahoma$42,390$36,440 to $42,390370
Oregon$46,250$39,580 to $58,240500
Pennsylvania$49,660$45,140 to $57,120540
South Carolina$40,000$36,680 to $45,110140
South Dakota$45,040$38,380 to $45,430120
Tennessee$39,130$35,550 to $45,470350
Texas$37,140$32,240 to $43,4801,800
Utah$47,940$42,830 to $52,060130
Vermont$40,990$40,990 to $48,10080
Virginia$59,260$41,280 to $84,520270
Washington$50,590$43,810 to $61,170720
Wisconsin$48,560$40,140 to $56,100540

Nationally: $44,810. 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 19 tasks

0 · AI alone could halve the time 2 · AI + software built on it could 17 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Observe, feel, taste, or otherwise examine products during and after processing to ensure conformance to standards. Not published
AI + software Record production data, such as weight and amount of product processed, type of product, and time and temperature of processing. Not published
Not much Observe flow of materials and listen for machine malfunctions, such as jamming or spillage, and notify supervisors if corrective actions fail. Not published
Not much Observe temperature, humidity, pressure gauges, and product samples and adjust controls, such as thermostats and valves, to maintain prescribed operating conditions for specific stages. Not published
Not much Set temperature and time controls, light ovens, burners, driers, or roasters, and start equipment, such as conveyors, cylinders, blowers, driers, or pumps. Not published
Not much Weigh or measure products, using scale hoppers or scale conveyors. Not published
See all 19 tasks
AI + software Signal coworkers to synchronize flow of materials. Not published
Not much Operate or tend equipment that roasts, bakes, dries, or cures food items such as cocoa and coffee beans, grains, nuts, and bakery products. Not published
Not much Read work orders to determine quantities and types of products to be baked, dried, or roasted. Not published
Not much Fill or remove product from trays, carts, hoppers, or equipment, using scoops, peels, or shovels, or by hand. Not published
Not much Push racks or carts to transfer products to storage, cooling stations, or the next stage of processing. Not published
Not much Clean equipment with steam, hot water, and hoses. Not published
Not much Open valves, gates, or chutes or use shovels to load or remove products from ovens or other equipment. Not published
Not much Test products for moisture content, using moisture meters. Not published
Not much Clear or dislodge blockages in bins, screens, or other equipment, using poles, brushes, or mallets. Not published
Not much Start conveyors to move roasted grain to cooling pans and agitate grain with rakes as blowers force air through perforated bottoms of pans. Not published
Not much Take product samples during or after processing for laboratory analyses. Not published
Not much Install equipment, such as spray units, cutting blades, or screens, using hand tools. Not published
Not much Smooth out products in bins, pans, trays, or conveyors, using rakes or shovels. 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 19 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 19 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 up2 of 19 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
Position workpieces or materials on equipment 0.61#264 0.17#249
Adjust equipment to ensure adequate performance 20#57 4.31#101
Inspect completed work or finished products 3.91#150 1.95#130
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
Maintain tools or equipment 4.47#136 1.04#167
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Show all 17 activities
Maintain operational records 2.92#170 0.49#209
Notify others of emergencies or problems 2.78#172 4.95#92
Evaluate production inputs or outputs 2.18#194 0.81#171
Collect samples of products or materials 0.70#256 0.13#262
Move materials, equipment, or supplies 0.65#261 0.09#272
Signal others to coordinate work activities 0.33#283 0.74#179
Operate pumping systems or equipment 0.16#307 0.02#297
Operate industrial processing or production equipment 0.13#309 0.02#301
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: “Signal others to coordinate work activities” holds 1 task rated AI + software, yet people asked AI for help with it in 0.33 of every 10,000 conversations, #283 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • An explanation or answer39%
  • Advice or a recommendation30%
  • Math or a calculation12%
  • An analysis or summary6%
  • Data or a spreadsheet6%

How they worked with Claude

53% handed the task off47% worked on it together

9% 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 and tobacco roasting, baking, and drying 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 and tobacco roasting, baking, and drying machine operators and tenders: +0.4%Food and Tobacco Roasting, Baking, and Drying 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 and tobacco roasting, baking, and drying machine operators and tenders: +0.4%Food and Tobacco Roasting, Baking, and Drying 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.

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

  • 23% less than high school
  • 61% high school
  • 6% postsecondary certificate
  • 11% some college

O*NET 31.0 survey of workers in this occupation · 22 people answered.

Census survey (American Community Survey)

  • 14% less than high school
  • 29% high school
  • 30% some college
  • 4% associate's
  • 21% bachelor's
  • 1% master's
  • 1% professional degree

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

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