Riggers vs Pile Driver Operators
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Riggers and Pile Driver Operators 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.”
At a glance
| Dimension | Riggers | Pile Driver Operators |
|---|---|---|
| Median pay | $62,060 | $70,510 |
| Employment | 24,190 | 3,040 |
| Employment outlook (2024–34) · BLS projection | About average (+3.2%) | About average (+4.3%) |
| Annual openings · BLS projection | 2,500 | 300 |
| 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 | Moderate · 61st pct | Low · 0th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 10th pct · 13% of tasks | 11th pct · 13% 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: Problem Sensitivity, Mechanical, Public Safety and Security, Production and Processing, Administration and Management, Control Precision, Multilimb Coordination, Near Vision, Depth Perception, Design, Operation and Control, Oral Comprehension, Information Ordering, Far Vision, Engineering and Technology, Building and Construction, Mathematics, Active Listening, Critical Thinking, Monitoring, Coordination, Operations Monitoring, Visualization, Manual Dexterity, Reaction Time, Speech Recognition, Oral Expression, Deductive Reasoning.
Specific to Riggers
- Customer and Personal Service
- English Language
- Education and Training
- Trunk Strength
- Reading Comprehension
- Static Strength
- Extent Flexibility
- Speaking
Specific to Pile Driver Operators
- Rate Control
- Transportation
- Response Orientation
- Equipment Maintenance
- Selective Attention
- Arm-Hand Steadiness
- Troubleshooting
- Inductive Reasoning
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 , Electronic mail software .
Specific to Riggers
Specific to Pile Driver Operators
Full profiles
This page is a summary. See the complete source-backed profile for Riggers or Pile Driver Operators — 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.
- Riggers vs Hoist and Winch Operators
- Riggers vs Crane and Tower Operators
- Riggers vs Mobile Heavy Equipment Mechanics, Except Engines
- Riggers vs Industrial Truck and Tractor Operators
- Riggers vs Millwrights
- Riggers vs Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
- Riggers vs Operating Engineers and Other Construction Equipment Operators
- Riggers vs Structural Iron and Steel Workers
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Riggers vs Pile Driver Operators." 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/riggers-vs-pile-driver-operators
Singulariki. (2026). Riggers vs Pile Driver Operators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/riggers-vs-pile-driver-operators
@misc{singulariki-riggers-vs-pile-driver-operators,
title = {Riggers vs Pile Driver Operators},
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/riggers-vs-pile-driver-operators}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.