# Helpers--Electricians

> Help electricians by performing duties requiring less skill. Duties include using, supplying, or holding materials or tools, and cleaning work area and equipment.

- **SOC code:** 47-3013.00
- **Canonical URL:** https://singulariki.com/roles/role-47-3013-00
- **Also known as:** Electrical Apprentice, Electrician Apprentice, Electrician Helper, Electrician's Helper, Apprentice, E and I Apprentice (Electrical and Instrumentation Apprentice), E and I Apprentice (Electrician and Instrumentation Apprentice), Electrical Helper
- **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):
- Strip insulation from wire ends, using wire stripping pliers, and attach wires to terminals for subsequent soldering.
- Trace out short circuits in wiring, using test meter.
- Measure, cut, and bend wire and conduit, using measuring instruments and hand tools.
- Examine electrical units for loose connections and broken insulation and tighten connections, using hand tools.
- Maintain tools, vehicles, and equipment and keep parts and supplies in order.
- Drill holes and pull or push wiring through openings, using hand and power tools.
- Clean work area and wash parts.
- Perform semi-skilled and unskilled laboring duties related to the installation, maintenance and repair of a wide variety of electrical systems and equipment.
- Thread conduit ends, connect couplings, and fabricate and secure conduit support brackets, using hand tools.
- Disassemble defective electrical equipment, replace defective or worn parts, and reassemble equipment, using hand tools.
- Construct controllers and panels, using power drills, drill presses, taps, saws, and punches.
- Transport tools, materials, equipment, and supplies to work site by hand, handtruck, or heavy, motorized truck.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Manual Dexterity _(ability)_
- Near Vision _(ability)_
- Building and Construction _(knowledge)_
- Mechanical _(knowledge)_
- Public Safety and Security _(knowledge)_
- Design _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Administration and Management _(knowledge)_
- Education and Training _(knowledge)_
- English Language _(knowledge)_
- Mathematics _(knowledge)_
- Arm-Hand Steadiness _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Mathematics _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Physics _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Visualization _(Specialized Skill)_
- Microsoft Excel _(Common Skill)_
- Installation _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Computer-aided drafting or design software
- Recordkeeping software
- Report generation software

## AI exposure & outlook

- **AI task-overlap index:** 4th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 5th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 5th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 15th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 60th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 0.2% growth (About average); 6.8k annual openings; 66.6k → 66.7k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $39,890; 64,440 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-47-3013-00_