# Farm Equipment Mechanics and Service Technicians

> Diagnose, adjust, repair, or overhaul farm machinery and vehicles, such as tractors, harvesters, dairy equipment, and irrigation systems.

- **SOC code:** 49-3041.00
- **Canonical URL:** https://singulariki.com/roles/role-49-3041-00
- **Also known as:** Farm Equipment Mechanic, Mechanic, Service Technician (Service Tech), Tractor Mechanic, Agricultural Mechanic (Ag Mechanic), Agricultural Service Technician (Ag Service Tech), Dairy Service Technician (Dairy Service Tech), Farm Equipment Service Technician (Farm Equipment Service Tech)
- **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):
- Reassemble machines and equipment following repair, testing operation and making adjustments, as necessary.
- Maintain, repair, and overhaul farm machinery and vehicles, such as tractors, harvesters, and irrigation systems.
- Examine and listen to equipment, read inspection reports, and confer with customers to locate and diagnose malfunctions.
- Record details of repairs made and parts used.
- Dismantle defective machines for repair, using hand tools.
- Clean and lubricate parts.
- Repair or replace defective parts, using hand tools, milling and woodworking machines, lathes, welding equipment, grinders, or saws.
- Test and replace electrical components and wiring, using test meters, soldering equipment, and hand tools.
- Tune or overhaul engines.
- Calculate bills according to record of repairs made, labor time, and parts used.
- Drive trucks to haul tools and equipment for on-site repair of large machinery.
- Fabricate new metal parts, using drill presses, engine lathes, and other machine tools.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mechanical _(knowledge)_
- Equipment Maintenance _(transferable_skill)_
- Repairing _(transferable_skill)_
- Troubleshooting _(transferable_skill)_
- Manual Dexterity _(ability)_
- Finger Dexterity _(ability)_
- Control Precision _(ability)_
- Multilimb Coordination _(ability)_
- Problem Sensitivity _(ability)_
- Visualization _(ability)_
- Near Vision _(ability)_
- Customer and Personal Service _(knowledge)_

**Skills in demand:**
- Equipment Maintenance _(Specialized Skill)_
- Finger Dexterity _(Common Skill)_
- Visualization _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- English Language _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Physics _(Specialized Skill)_
- Mathematics _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Speech Recognition _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Word _(hot technology)_
- Computerized maintenance management system CMMS
- FarmLogic FarmPAD
- ServiceMax
- Web browser software

## AI exposure & outlook

- **AI task-overlap index:** 18th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 10th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 16th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 38th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 61st percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 11.0% growth (Growing fast); 3.7k annual openings; 39k → 43.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $52,080; 36,880 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-49-3041-00_