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Hazardous Materials Removal Workers vs Water and Wastewater Treatment Plant and System Operators

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Hazardous Materials Removal Workers and Water and Wastewater Treatment Plant and System Operators 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.”

Hazardous Materials Removal Workers Water and Wastewater Treatment Plant and System Operators
Median pay · BLS OEWS
$48,490
$58,260
Employment · BLS OEWS
50,570
126,750
AI exposure (percentile) · task overlap, not automation
3rd pct
0th pct

At a glance

Dimension Hazardous Materials Removal Workers Water and Wastewater Treatment Plant and System Operators
Median pay $48,490 $58,260
Employment 50,570 126,750
Employment outlook (2024–34) · BLS projection About average (+1.0%) Declining (-6.5%)
Annual openings · BLS projection 5,000 10,700
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 · 0th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 2nd pct · 9% of tasks 49th pct · 27% 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, Critical Thinking, Written Expression, Deductive Reasoning, Administration and Management, Customer and Personal Service, Operation and Control, Inductive Reasoning, Information Ordering, Active Listening, Operations Monitoring, Written Comprehension, Reading Comprehension, Speaking, Selective Attention, Mechanical, English Language, Coordination, Complex Problem Solving, Quality Control Analysis, Judgment and Decision Making.

Specific to Hazardous Materials Removal Workers

  • Category Flexibility
  • Arm-Hand Steadiness
  • Speech Recognition
  • Transportation
  • Multilimb Coordination
  • Visualization
  • Manual Dexterity
  • Speech Clarity

Specific to Water and Wastewater Treatment Plant and System Operators

  • Chemistry
  • Mathematics
  • Education and Training
  • Computers and Electronics
  • Law and Government
  • Engineering and Technology
  • Equipment Maintenance
  • Troubleshooting

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: Spreadsheet software , Office suite software , Electronic mail software , Presentation software , Word processing software , Data base user interface and query software .

Full profiles

This page is a summary. See the complete source-backed profile for Hazardous Materials Removal Workers or Water and Wastewater Treatment Plant and System Operators — 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.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Hazardous Materials Removal Workers vs Water and Wastewater Treatment Plant and System Operators." 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-water-and-wastewater-treatment-plant-and-system-operators

APA

Singulariki. (2026). Hazardous Materials Removal Workers vs Water and Wastewater Treatment Plant and System Operators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/hazardous-materials-removal-workers-vs-water-and-wastewater-treatment-plant-and-system-operators

BibTeX
@misc{singulariki-hazardous-materials-removal-workers-vs-water-and-wastewater-treatment-plant-and-system-operators,
  title  = {Hazardous Materials Removal Workers vs Water and Wastewater Treatment Plant and System Operators},
  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-water-and-wastewater-treatment-plant-and-system-operators}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.