Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 47-5022.00
Operate or tend machinery at surface mining site, equipped with scoops, shovels, or buckets to excavate and load loose materials.
Also called: Dragline Oiler · Dragline Operator · Heavy Equipment Operator · Loader Operator · Backhoe Operator · Equipment Operator · Excavator Operator · Pit Operator · Track Hoe Operator · Aerial Tram Operator · Air Shovel Operator · Back Digger Operator
Job family: Construction and Extraction Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-47-5022-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
13th-percentile task overlap — yet about 3,100 openings a year (-0.4% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Low | 3rd | 0.0 | |
| AI assistant applicability (Microsoft) Low | 30th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Measure and verify levels of rock or gravel, bases, or other excavated material. | 0.3% | |
| Receive written or oral instructions regarding material movement or excavation. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -0.4% by 2034 |
| Projected annual openings | 3,100 |
| Employment 2024 → 2034 | 35,800 → 35,600 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Operation and Control | 4.1 | |
| Operations Monitoring | 3.6 | |
| Social Perceptiveness | 3.0 | |
| Coordination | 3.0 | |
| Persuasion | 3.0 | |
| Complex Problem Solving | 3.0 | |
| Equipment Selection | 3.0 | |
| Equipment Maintenance | 3.0 | |
| Troubleshooting | 3.0 | |
| Repairing | 3.0 | |
| Judgment and Decision Making | 3.0 | |
| Time Management | 3.0 |
| Control Precision | 4.1 | |
| Multilimb Coordination | 4.1 | |
| Depth Perception | 4.0 | |
| Manual Dexterity | 3.9 | |
| Reaction Time | 3.9 | |
| Arm-Hand Steadiness | 3.8 | |
| Response Orientation | 3.8 | |
| Rate Control | 3.8 | |
| Far Vision | 3.8 | |
| Spatial Orientation | 3.6 | |
| Near Vision | 3.6 | |
| Finger Dexterity | 3.5 | |
| Auditory Attention | 3.5 | |
| Peripheral Vision | 3.4 | |
| Hearing Sensitivity | 3.3 | |
| Oral Comprehension | 3.1 | |
| Oral Expression | 3.1 | |
| Problem Sensitivity | 3.1 | |
| Speech Recognition | 3.1 | |
| Written Comprehension | 3.0 |
| Mechanical | 3.2 | |
| Building and Construction | 3.2 |
| Monitoring | 3.1 | |
| Reading Comprehension | 3.0 | |
| Active Listening | 3.0 | |
| Speaking | 3.0 | |
| Critical Thinking | 3.0 | |
| Active Learning | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Windows | Operating system software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Email software | Electronic mail software | |
| Google Gmail | Electronic mail software | |
| Machine control systems | Industrial control software | |
| Machine monitoring software | Industrial control software |
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Transportation and Materials Moving . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| High School Diploma | 71.1% | |
| Less than a High School Diploma | 23.2% | |
| Post-Secondary Certificate | 5.7% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 7.0 | |
| Conventional | 3.5 | |
| Investigative | 2.4 |
| Transportation/Machine Operation | 6.2 | |
| Physical/Manual Labor | 4.9 | |
| Mechanics/Electronics | 3.4 | |
| Engineering | 2.8 | |
| Construction/Woodwork | 2.0 | |
| Nature/Outdoors | 1.8 | |
| Management/Administration | 1.1 | |
| Agriculture | 1.1 | |
| Accounting | 1.1 |
| Dependability | 2.4 | |
| Cautiousness | 2.3 | |
| Attention to Detail | 1.6 | |
| Stress Tolerance | 1.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $39,650 |
| 25th percentile | $46,290 |
| Median (50th) | $52,550 |
| 75th percentile | $63,630 |
| 90th percentile | $80,970 |
| People employed | 34,210 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 20,530 | $53,520 |
| Construction · Sector | 8,470 | $54,570 |
| Manufacturing · Sector | 1,280 | $52,550 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1,180 | $45,390 |
| Temporary Help Services · National industry | 700 | $44,090 |
| Plumbing, Heating, and Air-Conditioning Contractors · National industry | 310 | $60,640 |
| Wholesale Trade · Sector | 300 | $52,840 |
| Landscaping Services · National industry | 300 | $49,420 |
| Transportation and Warehousing · Sector | 290 | $49,560 |
| Utilities · Sector | 280 | $133,570 |
| Poured Concrete Foundation and Structure Contractors · National industry | 260 | $62,740 |
| Masonry Contractors · National industry | 260 | $50,980 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 161.35× | 20,530 |
| Masonry Contractors · National industry | 8.16× | 260 |
| Construction · Sector | 4.7× | 8,470 |
| Poured Concrete Foundation and Structure Contractors · National industry | 4.53× | 260 |
| Power and Communication Line and Related Structures Construction · National industry | 2.5× | 130 |
| Utilities · Sector | 2.18× | 280 |
| Landscaping Services · National industry | 1.48× | 300 |
| Temporary Help Services · National industry | 1.19× | 700 |
Part of the Construction and Energy & Natural Resources career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Excavating and Loading Machine and Dragline Operators, Surface Mining — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Excavating and Loading Machine and Dragline Operators, Surface Mining show 13th-percentile AI task overlap — and about 3,100 annual U.S. openings
Excavating and Loading Machine and Dragline Operators, Surface Mining show 13th-percentile AI task overlap — and about 3,100 annual U.S. openings • Excavating and Loading Machine and Dragline Operators, Surface Mining rank in the 13th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 3,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be declining (-0.4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $52,550, across about 34,210 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Excavating and Loading Machine and Dragline Operators, Surface Mining". https://singulariki.com/roles/role-47-5022-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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.
Singulariki. "Excavating and Loading Machine and Dragline Operators, Surface 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; 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. Accessed June 7, 2026. https://singulariki.com/roles/role-47-5022-00
Singulariki. (2026). Excavating and Loading Machine and Dragline Operators, Surface Mining. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-5022-00
@misc{singulariki-role-47-5022-00,
title = {Excavating and Loading Machine and Dragline Operators, Surface Mining},
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. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-47-5022-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.