# Home Appliance Repairers

> Repair, adjust, or install all types of electric or gas household appliances, such as refrigerators, washers, dryers, and ovens.

- **SOC code:** 49-9031.00
- **Canonical URL:** https://singulariki.com/roles/role-49-9031-00
- **Also known as:** Appliance Technician (Appliance Tech), Repair Technician, Service Technician (Service Tech), Vacuum Repairer, Appliance Mechanic, Appliance Repair Mechanic, Appliance Repair Technician (Appliance Repair Tech), Appliance Service 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):
- Bill customers for repair work, and collect payment.
- Observe and examine appliances during operation to detect specific malfunctions such as loose parts or leaking fluid.
- Talk to customers or refer to work orders to establish the nature of appliance malfunctions.
- Refer to schematic drawings, product manuals, and troubleshooting guides to diagnose and repair problems.
- Trace electrical circuits, following diagrams, and conduct tests with circuit testers and other equipment to locate shorts and grounds.
- Replace worn and defective parts such as switches, bearings, transmissions, belts, gears, circuit boards, or defective wiring.
- Conserve, recover, and recycle refrigerants used in cooling systems.
- Provide repair cost estimates, and recommend whether appliance repair or replacement is a better choice.
- Disassemble appliances so that problems can be diagnosed and repairs can be made.
- Service and repair domestic electrical or gas appliances, such as clothes washers, refrigerators, stoves, and dryers.
- Respond to emergency calls for problems such as gas leaks.
- Reassemble units after repairs are made, making adjustments and cleaning and lubricating parts as needed.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Mechanical _(knowledge)_
- Repairing _(transferable_skill)_
- Arm-Hand Steadiness _(ability)_
- Critical Thinking _(essential_skill)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Manual Dexterity _(ability)_
- Finger Dexterity _(ability)_
- Near Vision _(ability)_
- Equipment Maintenance _(transferable_skill)_
- Troubleshooting _(transferable_skill)_

**Skills in demand:**
- Finger Dexterity _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Equipment Maintenance _(Specialized Skill)_
- English Language _(Common Skill)_
- Active Listening _(Common Skill)_
- Visualization _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- dESCO ESC
- Intac International Wintac
- Parts database software
- RazorSync
- Route mapping software
- ServiceMax
- Web browser software

## AI exposure & outlook

- **AI task-overlap index:** 26th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 19th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 26th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 40th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 59th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 2.6% growth (About average); 3.1k annual openings; 37.3k → 38.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $49,410; 31,940 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-49-9031-00_