# Watch and Clock Repairers

> Repair, clean, and adjust mechanisms of timing instruments, such as watches and clocks. Includes watchmakers, watch technicians, and mechanical timepiece repairers.

- **SOC code:** 49-9064.00
- **Canonical URL:** https://singulariki.com/roles/role-49-9064-00
- **Also known as:** Clock Repairer, Watch Estimator, Watch Technician (Watch Tech), Watch and Clock Repairer, Antique Clock Repairer, Clock Repair Technician, Watch Repair Person, Watch Repair 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):
- Clean, rinse, and dry timepiece parts, using solutions and ultrasonic or mechanical watch-cleaning machines.
- Adjust timing regulators, using truing calipers, watch-rate recorders, and tweezers.
- Reassemble timepieces, replacing glass faces and batteries, before returning them to customers.
- Disassemble timepieces and inspect them for defective, worn, misaligned, or rusty parts, using loupes.
- Oil moving parts of timepieces.
- Estimate repair costs and timepiece values.
- Repair or replace broken, damaged, or worn parts on timepieces, using lathes, drill presses, and hand tools.
- Test timepiece accuracy and performance, using meters and other electronic instruments.
- Perform regular adjustment and maintenance on timepieces, watch cases, and watch bands.
- Order supplies, including replacement parts, for timing instruments.
- Gather information from customers about a timepiece's problems and its service history.
- Test and replace batteries and other electronic components.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Finger Dexterity _(ability)_
- Arm-Hand Steadiness _(ability)_
- Control Precision _(ability)_
- Near Vision _(ability)_
- Repairing _(transferable_skill)_
- Administration and Management _(knowledge)_
- Mechanical _(knowledge)_
- Manual Dexterity _(ability)_
- Information Ordering _(ability)_
- Problem Sensitivity _(ability)_
- Visualization _(ability)_

**Skills in demand:**
- Finger Dexterity _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Visualization _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Equipment Maintenance _(Specialized Skill)_
- Active Listening _(Common Skill)_
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_

**Tools & technology:**
- Intuit QuickBooks _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_
- GrenSoft WorkTracer
- IBM Lotus Notes
- Sage Software Sage50
- Upland Consulting Group Repair Traq
- WatchWare Repair Shop

## AI exposure & outlook

- **AI task-overlap index:** 30th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 43rd percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 30th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 22nd percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 99th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -1.1% growth (Declining); 0.1k annual openings; 1.4k → 1.4k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $60,690; 1,300 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/
- **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-49-9064-00_