← Risk register SOC 19-4042 · reviewed 2026-08-11

Environmental Science and Protection Technicians, Including Health

34,670 US workers · median $55,090/yr · Science

EXPOSED

The field half of this job — collecting soil, water, air, and asbestos/lead samples, calibrating monitors, setting up sensors at industrial sites and contaminated properties — is physically real and cheap robotics won't touch it this decade. The desk half — logging data, running standard calculations against regulatory thresholds, drafting sampling reports and permit paperwork — is exactly what AI now does at usable quality, and sensor networks plus automated telemetry are already thinning the routine monitoring rounds. No general license shields the role; certifications (asbestos inspector, HAZWOPER, state sampler credentials) matter for specific tasks but the signing professional is usually the environmental engineer or scientist above you.

10-year outlook: Report writing and routine data rounds shrink toward automation while sampling, inspection, and incident response hold; expect flat-to-modest employment with the job's center of gravity shifting further into the field.

US employment, 2019–2025+6.3%
32,62034,670 workers

Headcount grew steadily across the period.

Median pay $46,540 → $55,090 -5.3% in real terms (nominal +18.4%, less ~25% US inflation over the period)

The job count is not the verdict

This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.

So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.

BLS projection, 2024–2034

+4%

Percentage only. The projection counts a different population from the 34,670 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.

Exposed, but growing

AI can already do a lot of these tasks, and the BLS still expects +4% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~5,600 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

SanitarianAir AnalystSmoke TesterSoil AnalystBiotechnicianWater AnalystRadon InspectorField TechnicianWaste SpecialistWastewater AnalystSolid Waste AnalystAir Pollution AuditorAsbestos MicroscopistEnvironmental AnalystSanitarian SpecialistWater Quality AnalystPublic Health SanitarianWater Quality SpecialistWater Treatment SpecialistSmog Technician (Smog Tech)Materials Exchange SpecialistEnvironmental Property AssessorSample Technician (Sample Tech)Environmental Services Associate

Score — 45/100 resistance

Holding it up: embodiment (15/20). Weakest point: liability shield (5/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 10 + 15 + 5 + 6 + 9 = 45. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 10/20

Mixed — a routine tier and a judgment tier Splitting a 40-hour week between chain-of-custody sampling at active industrial sites and writing up EPA Method 200.8 results against MCLs puts this at 10 — the field trips still require a person walking a monitoring well transect, but continuous telemetry from datalogged sondes and automated report generation have already absorbed the routine quarterly rounds and the narrative sections you used to draft by hand.

Embodiment 15/20

Hands-on in uncontrolled environments A 15 reflects that you are in Level C on a brownfield in July, augering to five feet, changing PM2.5 filters on a rooftop, and crawling attics for asbestos bulk samples — uncontrolled sites with variable weather and access, though you are not doing structural work or operating heavy equipment, which is what keeps it out of the 18-20 range.

Liability shield 5/20

Certification preferred, not legally required At 5, credentials like state-accredited asbestos building inspector, 40-hour HAZWOPER, and lead risk assessor gate specific tasks and can be revoked, but the Phase II report, the remediation recommendation, and the regulatory submittal carry a PE or licensed geologist's stamp, so the enforcement exposure sits above you.

Trust premium 6/20

Some relationship component A 6 recognizes that plant EHS managers and municipal operators come to know you by name after years of quarterly visits and will call you directly about a spill, but the client is buying the lab-defensible dataset and the seal on the report, and the firm can send a different technician next quarter without losing the contract.

Judgment & accountability 9/20

Meaningful discretion Method 9 visible-emissions calls, deciding a well needs redevelopment before sampling, flagging a duplicate that blew its RPD, or deciding a friable material warrants a stop-work — real on-site discretion at 9, but bounded by SOPs, QAPPs, and prescriptive EPA and OSHA methods that specify what to do when a reading exceeds the trigger.

Confidence: medium · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, physical-presence

How to future-proof this job

Training paths for your skill gaps: Coursera — people management and team leadership specialisations free to audit · CS50x, Harvard — how software is actually built free · MIT OpenCourseWare — operations management free · MIT OpenCourseWare — circuits, systems and diagnostic method, free and ungated free · Khan Academy — mathematics, arithmetic through calculus free · edX — supply chain and inventory management free to audit · MIT OpenCourseWare — finance and accounting free · MIT OpenCourseWare — problem-solving and analytical method courses free

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Conservation Scientists EXPOSED · 56/100 · you already have ~70% of the skill profile

Skills to close: Management of Personnel Resources

Nuclear Engineers EXPOSED · 57/100 · you already have ~69% of the skill profile

Skills to close: Technology Design, Operations Analysis, Troubleshooting, Mathematics

Foresters EXPOSED · 60/100 · you already have ~65% of the skill profile

Skills to close: Management of Material Resources, Management of Financial Resources, Management of Personnel Resources, Complex Problem Solving

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 61/100, still EXPOSED.

5 specific changes that would raise this score
  • already happening liability shield +5

    State-mandated accredited-sampler credentials with personal chain-of-custody attestation: e.g., EPA/state drinking-water programs and the Lead and Copper Rule Improvements requiring a named, certified sampler to sign each sample's custody form, and state asbestos/lead (AHERA, EPA RRP) rules already requiring a licensed inspector's personal signature on clearance results. If more media (PFAS sampling under state programs, vapor intrusion, Phase II ESA field work) get equivalent named-certified-sampler requirements rather than firm-level accreditation, the technician becomes an unsubstitutable signatory.

  • already happening task resistance +3

    Task-mix shift: as report drafting and threshold checks automate, the residual job is the genuinely hard field tier — deciding where to place a sensor, recognizing a compromised sample, diagnosing drift and matrix interference, adapting a sampling plan when site conditions differ from the work plan. Two tiers genuinely exist here; the surviving role is the second one, and it is a smaller headcount.

  • already happening embodiment +2

    Expansion of sampling into environments hostile to fixed sensors and automation — post-disaster response, PFAS and lead service line inventories requiring physical excavation/inspection, indoor air and mold assessment inside occupied buildings, illicit discharge tracing in sewer systems. More statutory inventory and inspection mandates means more irreducibly physical, unpredictable-site work.

  • plausible liability shield +3

    Court/enforcement treatment of AI-assisted data as inadmissible without a human field witness — a Daubert-style or state-enforcement ruling that automated telemetry logs need a certified technician's sworn attestation of calibration and siting to support a penalty or a cost-recovery claim.

  • plausible judgment accountability +3

    Formal QA/QC sign-off authority pushed down to the technician under NELAP/state lab accreditation and EPA data-validation guidance: if the field technician is the named party who rejects or accepts a sample batch and documents deviations that determine whether a cleanup is declared complete, the role owns a consequential call.

The limit. Trust premium has no realistic route: buyers are regulators and property transactions purchasing compliance, not a human touch, and they will accept whatever the rule permits. The liability levers are also real but narrow — they attach to specific media (asbestos, lead, drinking water), so the shield protects credentialed subspecialties rather than the occupation as a whole. Even with every lever, automated telemetry continues to thin routine monitoring headcount; the score rises for the survivors while the job count falls.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 150 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Los Angeles-Long Beach-Anaheim, CA 1,460 $62,850 +14%
New York-Newark-Jersey City, NY-NJ 1,440 $62,650 +14%
Houston-Pasadena-The Woodlands, TX 930 $49,170 -11%
Dallas-Fort Worth-Arlington, TX 710 $53,780 -2%
Chicago-Naperville-Elgin, IL-IN 690 $60,380 +10%
San Francisco-Oakland-Fremont, CA 690 $80,840 +47%
Miami-Fort Lauderdale-West Palm Beach, FL 650 $49,930 -9%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 650 $62,280 +13%

Best paid

San Luis Obispo-Paso Robles, CA 40 $90,720 +65%
Duluth, MN-WI 50 $89,040 +62%
San Francisco-Oakland-Fremont, CA 690 $80,840 +47%

Percentages are against this occupation's national median of $55,090. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 45. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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