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How exposed to AI is a Cooling and Freezing Equipment Operators and Tender?

Of the 19 tasks O*NET lists for cooling and freezing equipment operators and tenders, 0 could be done in half the time with a chat window today. 18 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
Certified Refrigeration OperatorCompressor OperatorEngine Room OperatorFreezer OperatorFreezer PersonIce Cream MakerMachine OperatorRefrigeration OperatorRefrigeration Technician
Reachable today Needs software built first Cannot be sped up
19
tasks rated for this occupation
0%
hold a degree, from a survey of 24
8k
people do this job in the US
85 of 107
least protected in production

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Only with software built on top

1
  • Record temperatures, amounts of materials processed, or test results on report forms

Cannot be sped up

18
  • Monitor pressure gauges, ammeters, flowmeters, thermometers, or products, and adjust controls to maintain specified conditions, such as feed rate, product consistency, temperature, air pressure, and machine speed
  • Read dials and gauges on panel control boards to ascertain temperatures, alkalinities, and densities of mixtures, and turn valves to obtain specified mixtures
  • Start machinery, such as pumps, feeders, or conveyors, and turn valves to heat, admit, or transfer products, refrigerants, or mixes
  • Correct machinery malfunctions by performing actions such as removing jams, and inform supervisors of malfunctions as necessary
  • Assemble equipment, and attach pipes, fittings, or valves, using hand tools
  • Measure or weigh specified amounts of ingredients or materials, and load them into tanks, vats, hoppers, or other equipment
  • Adjust machine or freezer speed and air intake to obtain desired consistency and amount of product
  • Weigh packages and adjust freezer air valves or switches on filler heads to obtain specified amounts of product in each container
  • Inspect and flush lines with solutions or steam, and spray equipment with sterilizing solutions
  • Load and position wrapping paper, sticks, bags, or cartons into dispensing machines
  • Sample and test product characteristics such as specific gravity, acidity, and sugar content, using hydrometers, pH meters, or refractometers
  • Start agitators to blend contents, or start beater, scraper, and expeller blades to mix contents with air and prevent sticking
  • Position molds on conveyors, and measure and adjust level of fill, using depth gauges
  • Insert forming fixtures, and start machines that cut frozen products into measured portions or specified shapes
  • Place or position containers into equipment, and remove containers after completion of cooling or freezing processes
  • Scrape, dislodge, or break excess frost, ice, or frozen product from equipment to prevent accumulation, using hands and hand tools
  • Activate mechanical rakes to regulate flow of ice from storage bins to vats
  • Stir material with spoons or paddles to mix ingredients or allow even cooling and prevent coagulation
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.