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Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders vs Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders

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

A factual, source-backed comparison of Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders and Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders 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.”

Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders
Median pay · BLS OEWS
$41,460
$49,500
Employment · BLS OEWS
13,890
54,200
AI exposure (percentile) · task overlap, not automation
12th pct
31st pct

At a glance

Dimension Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders
Median pay $41,460 $49,500
Employment 13,890 54,200
Employment outlook (2024–34) · BLS projection About average (+3.6%) Declining (-4.3%)
Annual openings · BLS projection 1,600 5,400
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Usually requires a high school diploma or GED, though some occupations may not.
AI exposure · published exposure studies Low · 12th pct Low · 31st pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 41st pct · 23% of tasks 41st pct · 23% 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: Production and Processing, Operation and Control, Near Vision, Operations Monitoring, Information Ordering, Perceptual Speed, Arm-Hand Steadiness, Control Precision, English Language, Category Flexibility, Manual Dexterity, Finger Dexterity, Multilimb Coordination, Trunk Strength, Active Listening, Critical Thinking, Monitoring, Time Management, Oral Comprehension, Problem Sensitivity, Selective Attention, Extent Flexibility, Speech Recognition, Reading Comprehension, Oral Expression, Deductive Reasoning, Inductive Reasoning, Far Vision, Judgment and Decision Making, Static Strength.

Specific to Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

  • Speaking
  • Auditory Attention
  • Public Safety and Security
  • Social Perceptiveness
  • Coordination
  • Stamina
  • Speech Clarity
  • Psychology

Specific to Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders

  • Mechanical
  • Reaction Time
  • Quality Control Analysis
  • Flexibility of Closure
  • Visualization
  • Rate Control
  • Gross Body Equilibrium
  • Visual Color Discrimination

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 , Word processing software .

Specific to Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

    Specific to Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders

    Full profiles

    This page is a summary. See the complete source-backed profile for Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders or Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders — 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. "Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders vs Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders." 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/cleaning-washing-and-metal-pickling-equipment-operators-and-tenders-vs-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders

    APA

    Singulariki. (2026). Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders vs Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/cleaning-washing-and-metal-pickling-equipment-operators-and-tenders-vs-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders

    BibTeX 
    @misc{singulariki-cleaning-washing-and-metal-pickling-equipment-operators-and-tenders-vs-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders,
  title  = {Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders vs Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders},
  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/cleaning-washing-and-metal-pickling-equipment-operators-and-tenders-vs-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders}
}

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