As of November 2026, Hazardous Materials Removal Workers has an AI-exposure score of 42/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 31.0 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Hazardous Materials Removal Workers

42/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 11% of the roles we track. Median pay ~US$49,450. About 5,000 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Hazardous Materials Removal Workers?

No exposure score can predict whether AI will replace this role. The 42/100 score means our current model estimates moderate task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 31.0 exact occupation

Identify, remove, pack, transport, or dispose of hazardous materials, including asbestos, lead-based paint, waste oil, fuel, transmission fluid, radioactive materials, or contaminated soil. Specialized training and certification in hazardous materials handling or a confined entry permit are generally required. May operate earth-moving equipment or trucks.

Common titles
Abatement WorkerAsbestos Abatement WorkerAsbestos WorkerHazmat Technician (Hazardous Materials Technician)Clandestine Laboratory Responder (Clan Lab Responder)D and D Operator (Decontaminate and Decommissioning Operator)
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
MonitoringCritical ThinkingCoordinationJudgment and Decision MakingOperation and ControlReading Comprehension
Work context
Frequent contact with othersDecision latitudeRepeating tasksIndoor controlled setting

Source: O*NET 31.0 exact occupation - Hazardous Materials Removal Workers, SOC 47-4041.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Hazardous Materials Removal Workers tasks, by AI exposure

Automatable
  • Sort specialized hazardous waste at landfills or disposal centers, following proper disposal procedures.
Augmentable
  • Record numbers of containers stored at disposal sites, specifying amounts or types of equipment or waste disposed.
  • Operate cranes to move or load baskets, casks, or canisters.
13 more augmentable tasks locked in the report.
Durable
  • Identify asbestos, lead, or other hazardous materials to be removed, using monitoring devices.
  • Remove asbestos or lead from surfaces, using hand or power tools such as scrapers, vacuums, or high-pressure sprayers.
1 more durable task locked in the report.

We analyzed all 19 Hazardous Materials Removal Workers tasks - 1 automatable, 15 augmentable and 3 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Insulation Workers, Floor, Ceiling, and Wall
40% skills overlap; 9 points lower - lower exposure; Low band; ~US$49,120
View path
33
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Sort specialized hazardous waste at landfills or disposal centers, following proper disposal procedures.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

AI now appears in 7.3% of U.S. job postings on Indeed, up from 1.7% in January 2019 - the skills employers ask for are shifting, and adapting early pays. - Indeed Hiring Lab AI Tracker, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Hazardous Materials Removal Workers - median pay by US state (BLS OEWS, USD)

New York: US$73,090California: US$56,120Texas: US$44,390Florida: US$42,350

Median annual wage, in USD. US national: US$49,450. More states are being added.

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