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 19-4042.00
Perform laboratory and field tests to monitor the environment and investigate sources of pollution, including those that affect health, under the direction of an environmental scientist, engineer, or other specialist. May collect samples of gases, soil, water, and other materials for testing.
Also called: Environmental Health Officer (EHO) · Environmental Technician (Environmental Tech) · Sanitarian · Soil Lab Technician (Soil Laboratory Technician) · Industrial Pretreatment Program Specialist (IPP Specialist) · Lab Technician (Laboratory Technician) · Public Health Sanitarian · Sanitarian Specialist · Water Quality Analyst · Water Quality Specialist · Air Analyst · Air Pollution Auditor
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-19-4042-00/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.
52nd-percentile task overlap — yet about 5,600 openings a year (+4% 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 | 54th | 0.7 | |
| AI assistant applicability (Microsoft) Moderate | 52nd | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.5), and including AI-powered software (γ 0.7). 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.
| Record test data and prepare reports, summaries, or charts that interpret test results. | 1.7% | |
| Discuss test results and analyses with customers. | 1.0% | |
| Provide information or technical or program assistance to government representatives, employers, or the general public on the issues of public health, environmental protection, or workplace safety. | 0.3% | |
| Make recommendations to control or eliminate unsafe conditions at workplaces or public facilities. | 0.3% | |
| Determine amounts and kinds of chemicals to use in destroying harmful organisms or removing impurities from purification systems. | 0.3% | |
| Perform statistical analysis of environmental data. | 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 · +4.0% by 2034 |
| Projected annual openings | 5,600 |
| Employment 2024 → 2034 | 40,400 → 42,100 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 26 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).
| Reading Comprehension | 4.0 | |
| Active Listening | 3.9 | |
| Writing | 3.9 | |
| Speaking | 3.9 | |
| Critical Thinking | 3.8 | |
| Science | 3.4 | |
| Monitoring | 3.4 | |
| Mathematics | 3.1 | |
| Active Learning | 3.1 | |
| Learning Strategies | 3.0 |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Expression | 3.9 | |
| Deductive Reasoning | 3.9 | |
| Near Vision | 3.9 | |
| Problem Sensitivity | 3.6 | |
| Inductive Reasoning | 3.6 | |
| Speech Clarity | 3.6 | |
| Speech Recognition | 3.5 | |
| Information Ordering | 3.4 | |
| Category Flexibility | 3.3 | |
| Number Facility | 3.1 | |
| Flexibility of Closure | 3.1 |
| Customer and Personal Service | 3.6 | |
| Chemistry | 3.5 | |
| English Language | 3.5 | |
| Biology | 3.4 | |
| Law and Government | 3.4 | |
| Computers and Electronics | 3.4 | |
| Mathematics | 3.4 | |
| Engineering and Technology | 3.0 | |
| Public Safety and Security | 3.0 |
| Complex Problem Solving | 3.3 | |
| Judgment and Decision Making | 3.3 | |
| Systems Analysis | 3.1 | |
| Social Perceptiveness | 3.0 | |
| Coordination | 3.0 | |
| Service Orientation | 3.0 | |
| Operations Monitoring | 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 45.
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: Biological and Biomedical Sciences , Engineering/Engineering-Related Technologies/Technicians , Multi/Interdisciplinary Studies , Natural Resources and Conservation , Physical Sciences , Science Technologies/Technicians . 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 | 68.2% | |
| Associate's Degree (or other 2-year degree) | 22.7% | |
| High School Diploma | 4.5% | |
| Post-Secondary Certificate | 4.5% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 5.8 | |
| Investigative | 5.6 | |
| Conventional | 4.9 |
| Physical Science | 4.9 | |
| Nature/Outdoors | 4.0 | |
| Life Science | 3.9 | |
| Mathematics/Statistics | 3.9 | |
| Engineering | 3.3 | |
| Medical Science | 2.9 | |
| Mechanics/Electronics | 2.6 | |
| Physical/Manual Labor | 2.6 | |
| Health Care Service | 2.6 | |
| Protective Service | 2.3 |
| Dependability | 4.0 | |
| Attention to Detail | 3.0 | |
| Cautiousness | 2.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $36,130 |
| 25th percentile | $38,050 |
| Median (50th) | $49,490 |
| 75th percentile | $64,170 |
| 90th percentile | $85,630 |
| People employed | 39,390 |
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 |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 17,590 | $48,560 |
| Testing Laboratories and Services · National industry | 5,110 | $45,940 |
| Engineering Services · National industry | 2,340 | $58,210 |
| Educational Services · Sector | 1,300 | $52,150 |
| Other Services (except Public Administration) · Sector | 1,060 | $57,390 |
| Manufacturing · Sector | 640 | $68,420 |
| Temporary Help Services · National industry | 620 | $47,530 |
| Utilities · Sector | 480 | $83,390 |
| Health Care and Social Assistance · Sector | 340 | $39,700 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 330 | $59,610 |
| Management of Companies and Enterprises · Sector | 310 | $62,870 |
| Construction · Sector | 160 | $40,730 |
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 | 117.38× | 5,110 |
| Nuclear Electric Power Generation · National industry | 12.65× | 120 |
| Engineering Services · National industry | 7.92× | 2,340 |
| Professional, Scientific, and Technical Services · Sector | 6.39× | 17,590 |
| Utilities · Sector | 3.24× | 480 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 2.25× | 330 |
| Other Services (except Public Administration) · Sector | 0.94× | 1,060 |
| Temporary Help Services · National industry | 0.92× | 620 |
Part of the Energy & Natural Resources and Public Service & Safety career clusters.
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 Environmental Science and Protection Technicians, Including Health — 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.
Environmental Science and Protection Technicians, Including Health show 52nd-percentile AI task overlap — and about 5,600 annual U.S. openings
Environmental Science and Protection Technicians, Including Health show 52nd-percentile AI task overlap — and about 5,600 annual U.S. openings • Environmental Science and Protection Technicians, Including Health rank in the 52nd percentile (Moderate 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 5,600 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%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $49,490, across about 39,390 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Environmental Science and Protection Technicians, Including Health". https://singulariki.com/roles/role-19-4042-00 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. "Environmental Science and Protection Technicians, Including Health." 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-19-4042-00
Singulariki. (2026). Environmental Science and Protection Technicians, Including Health. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-4042-00
@misc{singulariki-role-19-4042-00,
title = {Environmental Science and Protection Technicians, Including Health},
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-19-4042-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.