Hazardous Materials Removal Workers vs Cleaners of Vehicles and Equipment
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Hazardous Materials Removal Workers and Cleaners of Vehicles and Equipment on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Hazardous Materials Removal Workers | Cleaners of Vehicles and Equipment |
|---|---|---|
| Median pay | $48,490 | $35,270 |
| Employment | 50,570 | 373,960 |
| Employment outlook (2024–34) · BLS projection | About average (+1.0%) | About average (+3.9%) |
| Annual openings · BLS projection | 5,000 | 56,200 |
| Typical education · O*NET | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. | Usually requires a high school diploma or GED, though some occupations may not. |
| AI exposure · published exposure studies | Low · 3rd pct | Low · 7th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 2nd pct · 9% of tasks | 3rd pct · 10% of tasks |
| Observed AI use · Anthropic Economic Index | Automation-leaning (42.5%) | — |
| Mostly remote-capable · Dingel–Neiman | No | No |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Problem Sensitivity, Oral Comprehension, Control Precision, Monitoring, Oral Expression, Near Vision, Public Safety and Security, Deductive Reasoning, Category Flexibility, Arm-Hand Steadiness, Speech Recognition, Administration and Management, Transportation, Customer and Personal Service, Operation and Control, Inductive Reasoning, Information Ordering, Multilimb Coordination, Active Listening, Operations Monitoring, Manual Dexterity, Speech Clarity, Speaking, Extent Flexibility, Mechanical, English Language, Quality Control Analysis.
Specific to Hazardous Materials Removal Workers
- Critical Thinking
- Written Expression
- Written Comprehension
- Visualization
- Building and Construction
- Reading Comprehension
- Selective Attention
- Writing
Specific to Cleaners of Vehicles and Equipment
- Finger Dexterity
- Trunk Strength
- Stamina
- Production and Processing
- Time Management
- Gross Body Coordination
- Education and Training
- Mathematics
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Data base user interface and query software , Inventory management software .
Specific to Hazardous Materials Removal Workers
Specific to Cleaners of Vehicles and Equipment
Full profiles
This page is a summary. See the complete source-backed profile for Hazardous Materials Removal Workers or Cleaners of Vehicles and Equipment — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Hazardous Materials Removal Workers vs Recycling and Reclamation Workers
- Hazardous Materials Removal Workers vs Water and Wastewater Treatment Plant and System Operators
- Hazardous Materials Removal Workers vs Highway Maintenance Workers
- Hazardous Materials Removal Workers vs Septic Tank Servicers and Sewer Pipe Cleaners
- Hazardous Materials Removal Workers vs Refuse and Recyclable Material Collectors
- Hazardous Materials Removal Workers vs Insulation Workers, Floor, Ceiling, and Wall
- Hazardous Materials Removal Workers vs Construction Laborers
- Hazardous Materials Removal Workers vs Explosives Workers, Ordnance Handling Experts, and Blasters
Sources for this page
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Hazardous Materials Removal Workers vs Cleaners of Vehicles and Equipment." 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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/hazardous-materials-removal-workers-vs-cleaners-of-vehicles-and-equipment
Singulariki. (2026). Hazardous Materials Removal Workers vs Cleaners of Vehicles and Equipment. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/hazardous-materials-removal-workers-vs-cleaners-of-vehicles-and-equipment
@misc{singulariki-hazardous-materials-removal-workers-vs-cleaners-of-vehicles-and-equipment,
title = {Hazardous Materials Removal Workers vs Cleaners of Vehicles and Equipment},
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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/hazardous-materials-removal-workers-vs-cleaners-of-vehicles-and-equipment}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.