# Electro-Mechanical and Mechatronics Technologists and Technicians

> Operate, test, maintain, or adjust unmanned, automated, servomechanical, or electromechanical equipment. May operate unmanned submarines, aircraft, or other equipment to observe or record visual information at sites such as oil rigs, crop fields, buildings, or for similar infrastructure, deep ocean exploration, or hazardous waste removal. May assist engineers in testing and designing robotics equipment.

- **SOC code:** 17-3024.00
- **Canonical URL:** https://singulariki.com/roles/role-17-3024-00
- **Also known as:** Electro-Mechanic, Electromechanical Technician (EM Technician), Electronics Technician (Electronics Tech), Mechanical Technician (Mechanical Tech), Automation Technician (Automation Tech), Electromechanical Assembler (EM Assembler), Process Control Tech, Product Test Specialist
- **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):
- Develop, test, or program new robots.
- Test performance of electromechanical assemblies, using test instruments such as oscilloscopes, electronic voltmeters, or bridges.
- Install or program computer hardware or machine or instrumentation software in microprocessor-based systems.
- Read blueprints, schematics, diagrams, or technical orders to determine methods and sequences of assembly.
- Modify, maintain, or repair electrical, electronic, or mechanical components, equipment, or systems to ensure proper functioning.
- Prepare written documentation of electromechanical test results.
- Inspect parts for surface defects.
- Install electrical or electronic parts and hardware in housings or assemblies, using soldering equipment and hand tools.
- Verify part dimensions or clearances to ensure conformance to specifications, using precision measuring instruments.
- Repair, rework, or calibrate hydraulic or pneumatic assemblies or systems to meet operational specifications or tolerances.
- Fabricate or assemble mechanical, electrical, or electronic components or assemblies.
- Align, fit, or assemble component parts, using hand or power tools, fixtures, templates, or microscopes.

**Emerging tasks** (O*NET):
- Program and calibrate drones for specific missions or tasks, ensuring proper functionality and performance.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Computers and Electronics _(knowledge)_
- Operations Monitoring _(transferable_skill)_
- Control Precision _(ability)_
- Troubleshooting _(transferable_skill)_
- Near Vision _(ability)_
- Monitoring _(essential_skill)_
- Repairing _(transferable_skill)_
- Problem Sensitivity _(ability)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- Information Ordering _(ability)_
- Arm-Hand Steadiness _(ability)_

**Skills in demand:**
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- English Language _(Common Skill)_
- Mathematics _(Common Skill)_
- Writing _(Common Skill)_
- Visualization _(Specialized Skill)_
- Systems Analysis _(Specialized Skill)_

**Tools & technology:**
- Autodesk AutoCAD _(hot technology)_
- C++ _(hot technology)_
- Dassault Systemes SolidWorks _(hot technology)_
- ESRI ArcGIS software _(hot technology)_
- Linux _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Python _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 47th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 40th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 46th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 58th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 65th 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 (About average); 1.3k annual openings; 15k → 15.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $70,760; 14,680 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 22% automation, 26% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Test performance of electromechanical assemblies, using test instruments such as oscilloscopes, electronic voltmeters, or bridges. _(0.6% of measured AI use; learning)_
- Develop, test, or program new robots. _(0.5% of measured AI use; directive)_
- Repair, rework, or calibrate hydraulic or pneumatic assemblies or systems to meet operational specifications or tolerances. _(0.4% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me test performance of electromechanical assemblies, using test instruments such as oscilloscopes, electronic voltmeters, or bridges.
- Help me develop, test, or program new robots.
- Help me repair, rework, or calibrate hydraulic or pneumatic assemblies or systems to meet operational specifications or tolerances.

## 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-17-3024-00_