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Metal-Refining Furnace Operators and Tenders vs Cooling and Freezing Equipment Operators and Tenders

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

A factual, source-backed comparison of Metal-Refining Furnace Operators and Tenders and Cooling and Freezing Equipment 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.”

Metal-Refining Furnace Operators and Tenders Cooling and Freezing Equipment Operators and Tenders
Median pay · BLS OEWS
$55,770
$40,160
Employment · BLS OEWS
20,330
6,590
AI exposure (percentile) · task overlap, not automation
20th pct
33rd pct

At a glance

Dimension Metal-Refining Furnace Operators and Tenders Cooling and Freezing Equipment Operators and Tenders
Median pay $55,770 $40,160
Employment 20,330 6,590
Employment outlook (2024–34) · BLS projection Declining (-2.3%) Growing fast (+7.2%)
Annual openings · BLS projection 2,000 800
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 · 20th pct Low · 33rd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 54th pct · 28% of tasks 18th pct · 15% 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, Control Precision, Operation and Control, Problem Sensitivity, Manual Dexterity, Near Vision, Mechanical, Monitoring, Arm-Hand Steadiness, Reaction Time, Information Ordering, Public Safety and Security, Administration and Management, Deductive Reasoning, Perceptual Speed, Static Strength, Reading Comprehension, Active Listening, Speaking, Critical Thinking, Complex Problem Solving, Quality Control Analysis, Education and Training, Oral Expression, Inductive Reasoning, Finger Dexterity, Trunk Strength, Active Learning.

Specific to Metal-Refining Furnace Operators and Tenders

  • Selective Attention
  • Multilimb Coordination
  • Rate Control
  • Extent Flexibility
  • Depth Perception
  • Hearing Sensitivity
  • Flexibility of Closure
  • Response Orientation

Specific to Cooling and Freezing Equipment Operators and Tenders

  • English Language
  • Food Production
  • Equipment Maintenance
  • Troubleshooting
  • Repairing
  • Judgment and Decision Making
  • Mathematics
  • Time Management

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 , Office suite software .

Specific to Metal-Refining Furnace Operators and Tenders

Specific to Cooling and Freezing Equipment Operators and Tenders

Full profiles

This page is a summary. See the complete source-backed profile for Metal-Refining Furnace Operators and Tenders or Cooling and Freezing Equipment 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. "Metal-Refining Furnace Operators and Tenders vs Cooling and Freezing Equipment 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/metal-refining-furnace-operators-and-tenders-vs-cooling-and-freezing-equipment-operators-and-tenders

APA

Singulariki. (2026). Metal-Refining Furnace Operators and Tenders vs Cooling and Freezing Equipment Operators and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/metal-refining-furnace-operators-and-tenders-vs-cooling-and-freezing-equipment-operators-and-tenders

BibTeX 
@misc{singulariki-metal-refining-furnace-operators-and-tenders-vs-cooling-and-freezing-equipment-operators-and-tenders,
  title  = {Metal-Refining Furnace Operators and Tenders vs Cooling and Freezing Equipment 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/metal-refining-furnace-operators-and-tenders-vs-cooling-and-freezing-equipment-operators-and-tenders}
}

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