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Tool Grinders, Filers, and Sharpeners vs Rolling Machine Setters, Operators, and Tenders, Metal and Plastic

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

A factual, source-backed comparison of Tool Grinders, Filers, and Sharpeners and Rolling Machine Setters, Operators, and Tenders, Metal and Plastic 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.”

Tool Grinders, Filers, and Sharpeners Rolling Machine Setters, Operators, and Tenders, Metal and Plastic
Median pay · BLS OEWS
$48,970
$48,630
Employment · BLS OEWS
5,730
22,350
AI exposure (percentile) · task overlap, not automation
29th pct
32nd pct

At a glance

Dimension Tool Grinders, Filers, and Sharpeners Rolling Machine Setters, Operators, and Tenders, Metal and Plastic
Median pay $48,970 $48,630
Employment 5,730 22,350
Employment outlook (2024–34) · BLS projection Declining (-7.8%) Declining (-8.3%)
Annual openings · BLS projection 500 1,900
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 · 29th pct Low · 32nd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 22nd pct · 17% of tasks 37th pct · 21% 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: Arm-Hand Steadiness, Operations Monitoring, Manual Dexterity, Finger Dexterity, Control Precision, Operation and Control, Near Vision, Mechanical, Quality Control Analysis, Equipment Maintenance, Problem Sensitivity, Selective Attention, Critical Thinking, Perceptual Speed, English Language, Written Comprehension, Rate Control, Reaction Time, Monitoring, Deductive Reasoning, Information Ordering, Multilimb Coordination, Static Strength, Auditory Attention, Production and Processing, Reading Comprehension, Complex Problem Solving, Oral Comprehension, Oral Expression, Inductive Reasoning.

Specific to Tool Grinders, Filers, and Sharpeners

  • Mathematics
  • Repairing
  • Visualization
  • Flexibility of Closure
  • Equipment Selection
  • Troubleshooting
  • Category Flexibility
  • Hearing Sensitivity

Specific to Rolling Machine Setters, Operators, and Tenders, Metal and Plastic

  • Speaking
  • Response Orientation
  • Active Listening
  • Trunk Strength
  • Far Vision
  • Speech Recognition
  • Speech Clarity
  • Education and Training

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: Electronic mail software .

Specific to Tool Grinders, Filers, and Sharpeners

Specific to Rolling Machine Setters, Operators, and Tenders, Metal and Plastic

Full profiles

This page is a summary. See the complete source-backed profile for Tool Grinders, Filers, and Sharpeners or Rolling Machine Setters, Operators, and Tenders, Metal and Plastic — 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. "Tool Grinders, Filers, and Sharpeners vs Rolling Machine Setters, Operators, and Tenders, Metal and Plastic." 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/tool-grinders-filers-and-sharpeners-vs-rolling-machine-setters-operators-and-tenders-metal-and-plastic

APA

Singulariki. (2026). Tool Grinders, Filers, and Sharpeners vs Rolling Machine Setters, Operators, and Tenders, Metal and Plastic. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/tool-grinders-filers-and-sharpeners-vs-rolling-machine-setters-operators-and-tenders-metal-and-plastic

BibTeX 
@misc{singulariki-tool-grinders-filers-and-sharpeners-vs-rolling-machine-setters-operators-and-tenders-metal-and-plastic,
  title  = {Tool Grinders, Filers, and Sharpeners vs Rolling Machine Setters, Operators, and Tenders, Metal and Plastic},
  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/tool-grinders-filers-and-sharpeners-vs-rolling-machine-setters-operators-and-tenders-metal-and-plastic}
}

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