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Hoist and Winch Operators vs Loading and Moving Machine Operators, Underground Mining

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

A factual, source-backed comparison of Hoist and Winch Operators and Loading and Moving Machine Operators, Underground Mining 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.”

Hoist and Winch Operators Loading and Moving Machine Operators, Underground Mining
Median pay · BLS OEWS
$52,310
$68,860
Employment · BLS OEWS
2,480
6,130
AI exposure (percentile) · task overlap, not automation
17th pct
10th pct

At a glance

Dimension Hoist and Winch Operators Loading and Moving Machine Operators, Underground Mining
Median pay $52,310 $68,860
Employment 2,480 6,130
Employment outlook (2024–34) · BLS projection Declining (-1.1%) Declining (-22.3%)
Annual openings · BLS projection 300 500
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 · 17th pct Low · 10th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 25th pct · 18% of tasks
Observed AI use · Anthropic Economic Index
Mostly remote-capable · Dingel–Neiman 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: Problem Sensitivity, Critical Thinking, Arm-Hand Steadiness, Control Precision, Reaction Time, Depth Perception, Monitoring, Operations Monitoring, Multilimb Coordination, Near Vision, Active Listening, Operation and Control, Oral Comprehension, Oral Expression, Deductive Reasoning, Selective Attention, Manual Dexterity, Speech Recognition, Inductive Reasoning, Perceptual Speed, Visualization, Rate Control, Far Vision, Speech Clarity, Information Ordering, Finger Dexterity, Extent Flexibility, Speaking, Social Perceptiveness, Mechanical, Coordination, Category Flexibility.

Specific to Hoist and Winch Operators

  • Time Management
  • Complex Problem Solving
  • Judgment and Decision Making
  • Hearing Sensitivity
  • Gross Body Equilibrium
  • Instructing
  • Management of Personnel Resources
  • Response Orientation

Specific to Loading and Moving Machine Operators, Underground Mining

  • Troubleshooting
  • Time Sharing
  • Trunk Strength
  • Education and Training
  • Equipment Maintenance
  • Auditory Attention
  • Reading Comprehension
  • Visual Color Discrimination

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 .

Full profiles

This page is a summary. See the complete source-backed profile for Hoist and Winch Operators or Loading and Moving Machine Operators, Underground Mining — 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. "Hoist and Winch Operators vs Loading and Moving Machine Operators, Underground Mining." 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/hoist-and-winch-operators-vs-loading-and-moving-machine-operators-underground-mining

APA

Singulariki. (2026). Hoist and Winch Operators vs Loading and Moving Machine Operators, Underground Mining. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/hoist-and-winch-operators-vs-loading-and-moving-machine-operators-underground-mining

BibTeX
@misc{singulariki-hoist-and-winch-operators-vs-loading-and-moving-machine-operators-underground-mining,
  title  = {Hoist and Winch Operators vs Loading and Moving Machine Operators, Underground Mining},
  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/hoist-and-winch-operators-vs-loading-and-moving-machine-operators-underground-mining}
}

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