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Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Food and Tobacco Roasting, Baking, and Drying Machine 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 Food and Tobacco Roasting, Baking, and Drying Machine 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 Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders
Median pay · BLS OEWS
$49,500
$42,730
Employment · BLS OEWS
54,200
19,500
AI exposure (percentile) · task overlap, not automation
31st pct
16th pct

At a glance

Dimension Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders
Median pay $49,500 $42,730
Employment 54,200 19,500
Employment outlook (2024–34) · BLS projection Declining (-4.3%) About average (+0.6%)
Annual openings · BLS projection 5,400 2,400
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 · 31st pct Low · 16th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 41st pct · 23% of tasks 13th pct · 14% 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, Critical Thinking, Monitoring, Operation and Control, Quality Control Analysis, Oral Comprehension, Flexibility of Closure, Selective Attention, Control Precision, Multilimb Coordination, English Language, Reading Comprehension, Active Listening, Judgment and Decision Making, Time Management, Oral Expression, Category Flexibility, Manual Dexterity, Finger Dexterity, Rate Control, Trunk Strength, Visual Color Discrimination, Hearing Sensitivity, Speech Recognition, Writing.

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

  • Mechanical
  • Reaction Time
  • Static Strength
  • Deductive Reasoning
  • Inductive Reasoning
  • Visualization
  • Extent Flexibility
  • Gross Body Equilibrium

Specific to Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders

  • Public Safety and Security
  • Food Production
  • Speaking
  • Social Perceptiveness
  • Coordination
  • Complex Problem Solving
  • Written Expression
  • Auditory Attention

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 , Electronic mail software .

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

Specific to Food and Tobacco Roasting, Baking, and Drying Machine 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 Food and Tobacco Roasting, Baking, and Drying Machine 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 Food and Tobacco Roasting, Baking, and Drying Machine 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; 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-food-and-tobacco-roasting-baking-and-drying-machine-operators-and-tenders

    APA

    Singulariki. (2026). Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Food and Tobacco Roasting, Baking, and Drying Machine 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-food-and-tobacco-roasting-baking-and-drying-machine-operators-and-tenders

    BibTeX 
    @misc{singulariki-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders-vs-food-and-tobacco-roasting-baking-and-drying-machine-operators-and-tenders,
  title  = {Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Food and Tobacco Roasting, Baking, and Drying Machine 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; 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-food-and-tobacco-roasting-baking-and-drying-machine-operators-and-tenders}
}

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