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Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Metal-Refining Furnace 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 Metal-Refining Furnace 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 Metal-Refining Furnace Operators and Tenders
Median pay · BLS OEWS
$49,500
$55,770
Employment · BLS OEWS
54,200
20,330
AI exposure (percentile) · task overlap, not automation
31st pct
20th pct

At a glance

Dimension Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders Metal-Refining Furnace Operators and Tenders
Median pay $49,500 $55,770
Employment 54,200 20,330
Employment outlook (2024–34) · BLS projection Declining (-4.3%) Declining (-2.3%)
Annual openings · BLS projection 5,400 2,000
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 · 20th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 41st pct · 23% of tasks 54th pct · 28% 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, Mechanical, Reaction Time, Critical Thinking, Monitoring, Operation and Control, Quality Control Analysis, Flexibility of Closure, Selective Attention, Control Precision, Multilimb Coordination, Static Strength, Reading Comprehension, Active Listening, Oral Expression, Deductive Reasoning, Inductive Reasoning, Manual Dexterity, Finger Dexterity, Rate Control, Trunk Strength, Extent Flexibility, Visual Color Discrimination, Hearing Sensitivity.

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

  • Oral Comprehension
  • English Language
  • Judgment and Decision Making
  • Time Management
  • Category Flexibility
  • Visualization
  • Gross Body Equilibrium
  • Far Vision

Specific to Metal-Refining Furnace Operators and Tenders

  • Public Safety and Security
  • Administration and Management
  • Depth Perception
  • Speaking
  • Complex Problem Solving
  • Education and Training
  • Response Orientation
  • Glare 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: Office suite software , Spreadsheet software .

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

Specific to Metal-Refining Furnace 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 Metal-Refining Furnace 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 Metal-Refining Furnace 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-metal-refining-furnace-operators-and-tenders

APA

Singulariki. (2026). Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Metal-Refining Furnace 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-metal-refining-furnace-operators-and-tenders

BibTeX 
@misc{singulariki-separating-filtering-clarifying-precipitating-and-still-machine-setters-operators-and-tenders-vs-metal-refining-furnace-operators-and-tenders,
  title  = {Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders vs Metal-Refining Furnace 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-metal-refining-furnace-operators-and-tenders}
}

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