Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 19-4013.00
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.
Also called: Central Laboratory Technician (CLT) · Laboratory Technician (Lab Tech) · QC Tech (Quality Control Technician) · Quality Assurance Analyst (QA Analyst) · Food Science Tech (Food Science Technician) · Laboratory Assistant (Lab Assistant) · QA Lab Tech (Quality Assurance Lab Technician) · QC Tech (Quality Assurance Technician) · Quality Analyst · Quality Tech (Quality Technician) · Beer Brewer · Biotechnician
Job family: Life, Physical, and Social Science Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-19-4013-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
32nd-percentile task overlap — yet about 3,200 openings a year (+4.8% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 39th | 0.4 | |
| AI assistant applicability (Microsoft) Low | 28th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.4), and including AI-powered software (γ 0.4). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Compute moisture or salt content, percentages of ingredients, formulas, or other product factors, using mathematical and chemical procedures. | 11.1% | |
| Examine chemical or biological samples to identify cell structures or to locate bacteria or extraneous material, using a microscope. | 0.8% | |
| Provide assistance to food scientists or technologists in research and development, production technology, or quality control. | 0.5% | |
| Monitor and control temperature of products. | 0.5% | |
| Conduct standardized tests on food, beverages, additives, or preservatives to ensure compliance with standards and regulations regarding factors such as color, texture, or nutrients. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.8% by 2034 |
| Projected annual openings | 3,200 |
| Employment 2024 → 2034 | 20,400 → 21,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Near Vision | 3.9 | |
| Oral Comprehension | 3.8 | |
| Written Comprehension | 3.8 | |
| Oral Expression | 3.8 | |
| Written Expression | 3.8 | |
| Deductive Reasoning | 3.6 | |
| Inductive Reasoning | 3.6 | |
| Problem Sensitivity | 3.5 | |
| Visual Color Discrimination | 3.3 | |
| Speech Recognition | 3.3 | |
| Speech Clarity | 3.3 | |
| Information Ordering | 3.1 | |
| Category Flexibility | 3.1 | |
| Flexibility of Closure | 3.1 | |
| Perceptual Speed | 3.1 | |
| Selective Attention | 3.1 | |
| Mathematical Reasoning | 3.0 | |
| Number Facility | 3.0 |
| Food Production | 3.8 | |
| Production and Processing | 3.7 | |
| Chemistry | 3.5 | |
| English Language | 3.4 | |
| Computers and Electronics | 3.1 | |
| Biology | 3.1 | |
| Mathematics | 3.0 |
| Reading Comprehension | 3.8 | |
| Active Listening | 3.5 | |
| Writing | 3.5 | |
| Speaking | 3.5 | |
| Science | 3.3 | |
| Critical Thinking | 3.3 | |
| Monitoring | 3.1 | |
| Active Learning | 3.0 | |
| Learning Strategies | 2.9 |
| Coordination | 3.1 | |
| Complex Problem Solving | 3.1 | |
| Quality Control Analysis | 3.1 | |
| Instructing | 3.0 | |
| Judgment and Decision Making | 3.0 | |
| Time Management | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 44.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Agriculture, Agriculture Operations, and Related Sciences , Biological and Biomedical Sciences , Physical Sciences . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 32.3% | |
| Associate's Degree (or other 2-year degree) | 23.0% | |
| High School Diploma | 16.5% | |
| Master's Degree | 12.8% | |
| Some College Courses | 12.3% | |
| Doctoral Degree | 1.2% | |
| Post-Doctoral Training | 1.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 5.6 | |
| Conventional | 5.0 | |
| Investigative | 4.5 | |
| Enterprising | 2.0 |
| Life Science | 4.3 | |
| Physical Science | 3.9 | |
| Mathematics/Statistics | 3.0 | |
| Engineering | 2.4 | |
| Medical Science | 2.3 | |
| Culinary Art | 2.1 | |
| Mechanics/Electronics | 2.1 | |
| Physical/Manual Labor | 2.0 | |
| Information Technology | 2.0 |
| Dependability | 3.0 | |
| Attention to Detail | 2.8 | |
| Cautiousness | 2.1 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $37,760 |
| 25th percentile | $43,990 |
| Median (50th) | $49,430 |
| 75th percentile | $60,940 |
| 90th percentile | $75,100 |
| People employed | 14,200 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Manufacturing · Sector | 10,450 | $49,130 |
| Professional, Scientific, and Technical Services · Sector | 1,130 | $49,890 |
| Wholesale Trade · Sector | 630 | $50,920 |
| Educational Services · Sector | 610 | $49,370 |
| Testing Laboratories and Services · National industry | 520 | $44,880 |
| Management of Companies and Enterprises · Sector | 500 | $62,460 |
| Agriculture, Forestry, Fishing and Hunting · Sector | 140 | $40,180 |
| Transportation and Warehousing · Sector | 90 | $50,560 |
| Retail Trade · Sector | 60 | $55,170 |
| Administrative and Support and Waste Management and Remediation Services · Sector | — | $54,580 |
| Temporary Help Services · National industry | — | $57,400 |
| Accommodation and Food Services · Sector | — | $46,940 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Testing Laboratories and Services · National industry | 33.14× | 520 |
| Manufacturing · Sector | 8.89× | 10,450 |
| Agriculture, Forestry, Fishing and Hunting · Sector | 3.59× | 140 |
| Management of Companies and Enterprises · Sector | 1.93× | 500 |
| Professional, Scientific, and Technical Services · Sector | 1.14× | 1,130 |
| Wholesale Trade · Sector | 1.13× | 630 |
| Educational Services · Sector | 0.49× | 610 |
Part of the Agriculture career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Food Science Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Food Science Technicians show 32nd-percentile AI task overlap — and about 3,200 annual U.S. openings
Food Science Technicians show 32nd-percentile AI task overlap — and about 3,200 annual U.S. openings • Food Science Technicians rank in the 32nd percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 3,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4.8%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $49,430, across about 14,200 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Food Science Technicians". https://singulariki.com/roles/role-19-4013-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Food Science Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-19-4013-00
Singulariki. (2026). Food Science Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-4013-00
@misc{singulariki-role-19-4013-00,
title = {Food Science Technicians},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-19-4013-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.