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JOB REPORT / 47-4041 · 21 TASKS

Hazardous Materials Removal Workers.

Can AI do the work of Hazardous Materials Removal Workers?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Record numbers of containers stored at disposal sites, specifying…
  • Organize or track the locations of hazardous items…

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WHAT WE LOOKED AT

Your job, task by task.

3 of 21 tasks reviewed

This job has 21 core tasks. We went through 3 of them, one at a time.

Task by task, from the work Hazardous Materials Removal Workers actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Record numbers of containers stored at disposal sites, specifying amounts or types of equipment or waste disposed.

    AI DOES

    Auto-fills forms, flags missing data, and organizes records into databases

    YOU DO

    Physically verify counts and confirm waste types in person before logging

  2. TASK 02

    Organize or track the locations of hazardous items in landfills.

    AI DOES

    Organizes location data, generates maps, and flags missing or mislogged entries in tracking systems

    YOU DO

    Verify physical locations on-site and make safety calls about unknown or mislabeled materials

  3. TASK 03SOURCE-BACKED TASK

    Identify or separate waste products or materials for recycling or reuse.

    AI DOES

    Suggests sorting categories and recycling guidelines

    YOU DO

    Judge condition and make final sorting calls

    About this analysis

    0% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.