# Coin, Vending, and Amusement Machine Servicers and Repairers

> Install, service, adjust, or repair coin, vending, or amusement machines including video games, juke boxes, pinball machines, or slot machines.

- **SOC code:** 49-9091.00
- **Canonical URL:** https://singulariki.com/roles/role-49-9091-00
- **Also known as:** Field Service Technician, Service Technician, Slot Technician, Vending Technician, Cooler Deliverer, Fountain Vending Mechanic, Full Service Vending Driver, Refurbish Technician
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Keep records of merchandise distributed and money collected.
- Fill machines with products, ingredients, money, and other supplies.
- Inspect machines and meters to determine causes of malfunctions and fix minor problems such as jammed bills or stuck products.
- Collect coins and bills from machines, prepare invoices, and settle accounts with concessionaires.
- Test machines to determine proper functioning.
- Make service calls to maintain and repair machines.
- Replace malfunctioning parts, such as worn magnetic heads on automatic teller machine (ATM) card readers.
- Adjust machine pressure gauges and thermostats.
- Maintain records of machine maintenance and repair.
- Clean and oil machine parts.
- Order parts needed for machine repairs.
- Adjust and repair coin, vending, or amusement machines and meters and replace defective mechanical and electrical parts, using hand tools, soldering irons, and diagrams.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Computers and Electronics _(knowledge)_
- Manual Dexterity _(ability)_
- Finger Dexterity _(ability)_
- Repairing _(transferable_skill)_
- Mechanical _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Equipment Maintenance _(transferable_skill)_
- Arm-Hand Steadiness _(ability)_
- Control Precision _(ability)_
- Near Vision _(ability)_
- Troubleshooting _(transferable_skill)_
- Information Ordering _(ability)_

**Skills in demand:**
- Finger Dexterity _(Common Skill)_
- Equipment Maintenance _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Visualization _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- English Language _(Common Skill)_
- Time Management _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Email software
- Inventory tracking software
- Web browser software

## AI exposure & outlook

- **AI task-overlap index:** 28th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 28th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 34th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 24th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 86th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -2.9% growth (Declining); 3.5k annual openings; 32.5k → 31.6k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $47,350; 28,260 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-49-9091-00_