Skip to content
Singulariki

Food and Tobacco Roasting, Baking, and Drying Machine 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 Food and Tobacco Roasting, Baking, and Drying Machine 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.”

Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders Mixing and Blending Machine Setters, Operators, and Tenders
Median pay · BLS OEWS
$42,730
$47,680
Employment · BLS OEWS
19,500
100,840
AI exposure (percentile) · task overlap, not automation
16th pct
22nd pct

At a glance

Dimension Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders Mixing and Blending Machine Setters, Operators, and Tenders
Median pay $42,730 $47,680
Employment 19,500 100,840
Employment outlook (2024–34) · BLS projection About average (+0.6%) Declining (-6.8%)
Annual openings · BLS projection 2,400 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 · 16th pct Low · 22nd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 13th pct · 14% 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, Monitoring, English Language, Problem Sensitivity, Reading Comprehension, Active Listening, Critical Thinking, Operation and Control, Quality Control Analysis, Oral Comprehension, Information Ordering, Category Flexibility, Perceptual Speed, Selective Attention, Arm-Hand Steadiness, Control Precision, Speaking, Coordination, Judgment and Decision Making, Oral Expression, Manual Dexterity, Finger Dexterity, Multilimb Coordination, Rate Control, Trunk Strength, Visual Color Discrimination, Speech Clarity, Time Management.

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

  • Speech Recognition
  • Public Safety and Security
  • Food Production
  • Social Perceptiveness
  • Complex Problem Solving
  • Written Expression
  • Flexibility of Closure
  • Hearing Sensitivity

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

  • Equipment Maintenance
  • Troubleshooting
  • Repairing
  • Written Comprehension
  • Reaction Time
  • Far Vision
  • Deductive Reasoning
  • Inductive Reasoning

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 Food and Tobacco Roasting, Baking, and Drying Machine 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 Food and Tobacco Roasting, Baking, and Drying Machine 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. "Food and Tobacco Roasting, Baking, and Drying Machine 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/food-and-tobacco-roasting-baking-and-drying-machine-operators-and-tenders-vs-mixing-and-blending-machine-setters-operators-and-tenders

    APA

    Singulariki. (2026). Food and Tobacco Roasting, Baking, and Drying Machine 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/food-and-tobacco-roasting-baking-and-drying-machine-operators-and-tenders-vs-mixing-and-blending-machine-setters-operators-and-tenders

    BibTeX 
    @misc{singulariki-food-and-tobacco-roasting-baking-and-drying-machine-operators-and-tenders-vs-mixing-and-blending-machine-setters-operators-and-tenders,
  title  = {Food and Tobacco Roasting, Baking, and Drying Machine 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/food-and-tobacco-roasting-baking-and-drying-machine-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.