Compare Occupations

SUMMARY
82%
Imminent Risk
38%
Low Risk
43%
Moderate Risk
69%
High Risk
52%
Moderate Risk
75%
High Risk
JOB SCORE 1.4/10 5.2/10 4.6/10 3.3/10 3.1/10 3.4/10
POLLING
78%
(High Risk, Based on 28 votes)
54%
(Moderate Risk, Based on 29 votes)
56%
(Moderate Risk, Based on 50 votes)
There hasn't been enough votes on this occupation yet
78%
(High Risk, Based on 32 votes)
72%
(High Risk, Based on 30 votes)
GROWTH
by year 2034
0.6%
1.2%
2.2%
3.0%
4.8%
6.9%
WAGES
$40,550
or $19.49 per hour
$71,190
or $34.22 per hour
$75,190
or $36.15 per hour
$47,010
or $22.60 per hour
$49,430
or $23.76 per hour
$40,790
or $19.61 per hour
VOLUME
as of 2024
27,660
685,140
30,780
16,160
14,200
171,660
SNOWFLAKE [?] The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes. Snowflake diagram for Food Cooking Machine Operators and Tenders Snowflake diagram for First-Line Supervisors of Production and Operating Workers Snowflake diagram for Stationary Engineers and Boiler Operators Snowflake diagram for Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders Snowflake diagram for Food Science Technicians Snowflake diagram for Food Batchmakers
DESCRIPTION Operate or tend cooking equipment, such as steam cooking vats, deep fry cookers, pressure cookers, kettles, and boilers, to prepare food products. Directly supervise and coordinate the activities of production and operating workers, such as inspectors, precision workers, machine setters and operators, assemblers, fabricators, and plant and system operators. Excludes team or work leaders. Operate or maintain stationary engines, boilers, or other mechanical equipment to provide utilities for buildings or industrial processes. Operate equipment such as steam engines, generators, motors, turbines, and steam boilers. Operate or tend heating equipment other than basic metal, plastic, or food processing equipment. Includes activities such as annealing glass, drying lumber, curing rubber, removing moisture from materials, or boiling soap. Work with food scientists or technologists to perform standardized qualitative and quantitative tests to determine physical or chemical properties of food or beverage products. Includes technicians who assist in research and development of production technology, quality control, packaging, processing, and use of foods. Set up and operate equipment that mixes or blends ingredients used in the manufacturing of food products. Includes candy makers and cheese makers.

Compare Occupations Side by Side

Curious how automation and AI could affect your career? Our comparison tool lets you view two or more jobs side by side, helping you quickly spot differences in risk level, pay, growth, and popularity. All of this is based on a mix of academic research, user polling, and official labour data.

Automation Risk

Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.

Job Score

A quick summary of how a job performs overall — factoring in wages, growth, volume, and automation risk. It’s a handy way to see the bigger picture at a glance.

Polling Data

Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.

Growth & Wages

See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.

Volume of Workers

Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.

The Snowflake Diagram

Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.

Use this comparison page to research careers, guide students, or simply explore the future of work. All data is regularly updated to keep the results relevant.