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Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Mixing and Blending Machine Setters, Operators, and Tenders

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

A factual, source-backed comparison of Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders and Mixing and Blending 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.”

Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders Mixing and Blending Machine Setters, Operators, and Tenders
Median pay · BLS OEWS
$49,500
$47,680
Employment · BLS OEWS
54,200
100,840
AI exposure (percentile) · task overlap, not automation
31st pct
22nd pct

At a glance

Dimension Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders Mixing and Blending Machine Setters, Operators, and Tenders
Median pay $49,500 $47,680
Employment 54,200 100,840
Employment outlook (2024–34) · BLS projection Declining (-4.3%) Declining (-6.8%)
Annual openings · BLS projection 5,400 8,800
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 · 31st pct Low · 22nd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 41st pct · 23% of tasks 32nd pct · 20% 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, Operations Monitoring, Production and Processing, Perceptual Speed, Problem Sensitivity, Information Ordering, Arm-Hand Steadiness, Reaction Time, Critical Thinking, Monitoring, Operation and Control, Quality Control Analysis, Oral Comprehension, Selective Attention, Control Precision, Multilimb Coordination, Static Strength, English Language, Reading Comprehension, Active Listening, Judgment and Decision Making, Time Management, Oral Expression, Deductive Reasoning, Inductive Reasoning, Category Flexibility, Manual Dexterity, Finger Dexterity, Rate Control, Trunk Strength, Far Vision, Visual Color Discrimination.

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

  • Mechanical
  • Flexibility of Closure
  • Visualization
  • Extent Flexibility
  • Gross Body Equilibrium
  • Hearing Sensitivity
  • Speech Recognition
  • Writing

Specific to Mixing and Blending Machine Setters, Operators, and Tenders

  • Equipment Maintenance
  • Troubleshooting
  • Repairing
  • Written Comprehension
  • Speaking
  • Coordination
  • Response Orientation
  • Speech Clarity

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: Office suite software , Spreadsheet software , Electronic mail software , Word processing software , Enterprise resource planning ERP software .

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

Specific to Mixing and Blending Machine Setters, Operators, and Tenders

Full profiles

This page is a summary. See the complete source-backed profile for Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders or Mixing and Blending 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. "Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Mixing and Blending 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/separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders-vs-mixing-and-blending-machine-setters-operators-and-tenders

APA

Singulariki. (2026). Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Mixing and Blending Machine Setters, Operators, and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders-vs-mixing-and-blending-machine-setters-operators-and-tenders

BibTeX 
@misc{singulariki-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders-vs-mixing-and-blending-machine-setters-operators-and-tenders,
  title  = {Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Mixing and Blending 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/separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders-vs-mixing-and-blending-machine-setters-operators-and-tenders}
}

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