Cooling and Freezing Equipment Operators and Tenders

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Record temperatures, amounts of materials processed, or test results on report forms.64
• Sample and test product characteristics such as specific gravity, acidity, and sugar content, using hydrometers, pH meters, or refractometers.60

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Read dials and gauges on panel control boards to ascertain temperatures, alkalinities, and densities of mixtures, and turn valves to obtain specified mixtures.58
• 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.56
• Start machinery, such as pumps, feeders, or conveyors, and turn valves to heat, admit, or transfer products, refrigerants, or mixes.56

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 54 puts Cooling and Freezing Equipment Operators and Tenders in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 2 of 18 analyzed tasks lean automatable, 16 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $41,330median wage
• 6,900employed
• 800annual openings
• +7.0%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders 52
• Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders 53
• Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic 49
• Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders 57
• Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders 53
• Food Cooking Machine Operators and Tenders 54

FAQ — Cooling and Freezing Equipment Operators and Tenders

What does a score of 54 mean for a Cooling and Freezing Equipment Operators and Tenders?

It means that, weighted across the 18 tasks we analyzed for this role, the task mix sits at 54 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Record temperatures, amounts of materials processed, or test results on report forms; Sample and test product characteristics such as specific gravity, acidity, and sugar content, using hydrometers, pH meters, or refractometers. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The current data release does not distinguish durable tasks for this role.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.