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Cleaners of Vehicles and Equipment vs Maintenance Workers, Machinery

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

A factual, source-backed comparison of Cleaners of Vehicles and Equipment and Maintenance Workers, Machinery 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.”

Cleaners of Vehicles and Equipment Maintenance Workers, Machinery
Median pay · BLS OEWS
$35,270
$60,500
Employment · BLS OEWS
373,960
56,540
AI exposure (percentile) · task overlap, not automation
7th pct
30th pct

At a glance

Dimension Cleaners of Vehicles and Equipment Maintenance Workers, Machinery
Median pay $35,270 $60,500
Employment 373,960 56,540
Employment outlook (2024–34) · BLS projection About average (+3.9%) Declining (-2.8%)
Annual openings · BLS projection 56,200 4,800
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
AI exposure · published exposure studies Low · 7th pct Low · 30th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 3rd pct · 10% of tasks 24th pct · 17% of tasks
Observed AI use · Anthropic Economic Index — —
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: Near Vision, English Language, Manual Dexterity, Extent Flexibility, Multilimb Coordination, Operation and Control, Quality Control Analysis, Problem Sensitivity, Finger Dexterity, Control Precision, Trunk Strength, Administration and Management, Operations Monitoring, Deductive Reasoning, Arm-Hand Steadiness, Production and Processing, Time Management, Oral Expression, Information Ordering, Mechanical, Speaking, Education and Training, Active Listening, Inductive Reasoning.

Specific to Cleaners of Vehicles and Equipment

  • Customer and Personal Service
  • Transportation
  • Stamina
  • Oral Comprehension
  • Public Safety and Security
  • Monitoring
  • Gross Body Coordination
  • Speech Recognition

Specific to Maintenance Workers, Machinery

  • Equipment Maintenance
  • Troubleshooting
  • Repairing
  • Visualization
  • Design
  • Reading Comprehension
  • Critical Thinking
  • Coordination

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 , Calendar and scheduling software .

Specific to Cleaners of Vehicles and Equipment

Specific to Maintenance Workers, Machinery

Full profiles

This page is a summary. See the complete source-backed profile for Cleaners of Vehicles and Equipment or Maintenance Workers, Machinery — 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. "Cleaners of Vehicles and Equipment vs Maintenance Workers, Machinery." 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; 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/cleaners-of-vehicles-and-equipment-vs-maintenance-workers-machinery

APA

Singulariki. (2026). Cleaners of Vehicles and Equipment vs Maintenance Workers, Machinery. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/cleaners-of-vehicles-and-equipment-vs-maintenance-workers-machinery

BibTeX 
@misc{singulariki-cleaners-of-vehicles-and-equipment-vs-maintenance-workers-machinery,
  title  = {Cleaners of Vehicles and Equipment vs Maintenance Workers, Machinery},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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/cleaners-of-vehicles-and-equipment-vs-maintenance-workers-machinery}
}

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