Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic 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 Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic 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.”
At a glance
| Dimension | Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic | Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders |
|---|---|---|
| Median pay | $47,450 | $49,500 |
| Employment | 14,590 | 54,200 |
| Employment outlook (2024–34) · BLS projection | Declining (-12.8%) | Declining (-4.3%) |
| Annual openings · BLS projection | 1,200 | 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 | Moderate · 45th pct | Low · 31st pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 40th pct · 22% 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, Operations Monitoring, Operation and Control, Arm-Hand Steadiness, Multilimb Coordination, Reaction Time, Problem Sensitivity, Manual Dexterity, Near Vision, Control Precision, Static Strength, Trunk Strength, Information Ordering, Perceptual Speed, Selective Attention, Finger Dexterity, Active Listening, Monitoring, Quality Control Analysis, Oral Expression, Deductive Reasoning, Flexibility of Closure, Visualization, Rate Control, Speech Recognition, Critical Thinking, Judgment and Decision Making, Oral Comprehension, Category Flexibility, Extent Flexibility, Far Vision.
Specific to Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic
- Mathematics
- Stamina
- Speaking
- Speech Clarity
- Equipment Maintenance
- Written Comprehension
- Response Orientation
- Depth Perception
Specific to Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders
- Mechanical
- English Language
- Reading Comprehension
- Time Management
- Inductive Reasoning
- Gross Body Equilibrium
- Visual Color Discrimination
- Hearing Sensitivity
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: Word processing software , Spreadsheet software , Office suite software , Electronic mail software , Enterprise resource planning ERP software .
Specific to Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic
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 Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic 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.
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic vs Metal-Refining Furnace Operators and Tenders
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic vs Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic vs Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic vs Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic vs Plating Machine Setters, Operators, and Tenders, Metal and Plastic
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic vs Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic vs Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic vs Cooling and Freezing Equipment Operators and Tenders
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic 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/heat-treating-equipment-setters-operators-and-tenders-metal-and-plastic-vs-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders
Singulariki. (2026). Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic 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/heat-treating-equipment-setters-operators-and-tenders-metal-and-plastic-vs-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders
@misc{singulariki-heat-treating-equipment-setters-operators-and-tenders-metal-and-plastic-vs-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders,
title = {Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic 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/heat-treating-equipment-setters-operators-and-tenders-metal-and-plastic-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.