Compare Occupations

SUMMARY
52%
Moderate Risk
23%
Low Risk
33%
Low Risk
44%
Moderate Risk
39%
Low Risk
40%
Moderate Risk
JOB SCORE 3.1/10 6.7/10 4.3/10 4.2/10 5.5/10 3.0/10
POLLING
78%
(High Risk, Based on 32 votes)
33%
(Low Risk, Based on 143 votes)
49%
(Moderate Risk, Based on 62 votes)
51%
(Moderate Risk, Based on 79 votes)
45%
(Moderate Risk, Based on 105 votes)
56%
(Moderate Risk, Based on 27 votes)
GROWTH
by year 2034
4.8%
6.5%
3.5%
3.7%
3.0%
1.5%
WAGES
$49,430
or $23.76 per hour
$85,310
or $41.01 per hour
$52,000
or $25.00 per hour
$57,790
or $27.78 per hour
$78,420
or $37.70 per hour
$50,990
or $24.51 per hour
VOLUME
as of 2024
14,200
14,370
76,190
55,640
397,770
12,090
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 Science Technicians Snowflake diagram for Food Scientists and Technologists Snowflake diagram for Biological Technicians Snowflake diagram for Chemical Technicians Snowflake diagram for Compliance Officers Snowflake diagram for Agricultural Inspectors
DESCRIPTION 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. Use chemistry, microbiology, engineering, and other sciences to study the principles underlying the processing and deterioration of foods; analyze food content to determine levels of vitamins, fat, sugar, and protein; discover new food sources; research ways to make processed foods safe, palatable, and healthful; and apply food science knowledge to determine best ways to process, package, preserve, store, and distribute food. Assist biological and medical scientists. Set up, operate, and maintain laboratory instruments and equipment, monitor experiments, collect data and samples, make observations, and calculate and record results. May analyze organic substances, such as blood, food, and drugs. Conduct chemical and physical laboratory tests to assist scientists in making qualitative and quantitative analyses of solids, liquids, and gaseous materials for research and development of new products or processes, quality control, maintenance of environmental standards, and other work involving experimental, theoretical, or practical application of chemistry and related sciences. Examine, evaluate, and investigate eligibility for or conformity with laws and regulations governing contract compliance of licenses and permits, and perform other compliance and enforcement inspection and analysis activities not classified elsewhere. Inspect agricultural commodities, processing equipment, and facilities, and fish and logging operations, to ensure compliance with regulations and laws governing health, quality, and safety.

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.