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Singulariki

Helpers--Electricians

Occupation · SOC 47-3013.00

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

Also called: 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 · Inside Wireman Apprentice · Wireman Apprentice · Automotive Electrician Helper (Auto Electrician Helper) · Electrical Assistant

Job family: Construction and Extraction Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-47-3013-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

4th-percentile task overlap — yet about 6,800 openings a year (+0.2% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Low 5th -1.5
LLM task exposure, γ (OpenAI / Eloundou) Low 5th 0.0
AI assistant applicability (Microsoft) Low 15th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.7 · 60th percentile among occupations · Moderate

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +0.2% by 2034
Projected annual openings 6,800
Employment 2024 → 2034 66,600 → 66,700

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

9% mean task exposure (2025)
2nd percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Building Construction Labourers · 9313 9% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 24 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Abilities

Manual Dexterity 4.0
Near Vision 4.0
Arm-Hand Steadiness 3.4
Finger Dexterity 3.4
Extent Flexibility 3.4
Problem Sensitivity 3.3
Control Precision 3.3
Multilimb Coordination 3.3
Trunk Strength 3.3
Visual Color Discrimination 3.3
Oral Comprehension 3.1
Oral Expression 3.1
Deductive Reasoning 3.1
Information Ordering 3.1
Selective Attention 3.1
Speech Recognition 3.1
Visualization 3.0
Gross Body Equilibrium 3.0
Speech Clarity 3.0

Knowledge

Building and Construction 4.0
Mechanical 3.9
Public Safety and Security 3.9
Design 3.8
Customer and Personal Service 3.8
Administration and Management 3.7
Education and Training 3.6
English Language 3.6
Mathematics 3.5
Engineering and Technology 3.3
Physics 3.3
Transportation 3.2

Essential skills

Active Listening 3.3
Speaking 3.1
Critical Thinking 3.1
Active Learning 2.9

Transferable skills

Coordination 3.0
Troubleshooting 3.0
Quality Control Analysis 3.0
Judgment and Decision Making 3.0
Complex Problem Solving 2.9

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Computer-aided drafting or design software Computer aided design CAD software
Recordkeeping software Data base user interface and query software
Report generation software Word processing software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.9
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.7
Spend Time Standing 4.6
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.4
Work With or Contribute to a Work Group or Team 4.4
Contact With Others 4.3
Exposed to Cramped Work Space, Awkward Positions 4.3
Importance of Being Exact or Accurate 4.2
Physical Proximity 4.0
Exposed to Hazardous Equipment 4.0
Exposed to Contaminants 4.0
Outdoors, Exposed to All Weather Conditions 4.0
Spend Time Walking or Running 4.0
Time Pressure 3.9
Spend Time Climbing Ladders, Scaffolds, or Poles 3.9
Spend Time Making Repetitive Motions 3.8
Indoors, Not Environmentally Controlled 3.8
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.8
Outdoors, Under Cover 3.8
Frequency of Decision Making 3.7
Exposed to Hazardous Conditions 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Health and Safety of Other Workers 3.7
Freedom to Make Decisions 3.6
Telephone Conversations 3.5
Impact of Decisions on Co-workers or Company Results 3.5
Exposed to Very Hot or Cold Temperatures 3.5
Spend Time Bending or Twisting Your Body 3.5
Exposed to High Places 3.4
Determine Tasks, Priorities and Goals 3.3
Indoors, Environmentally Controlled 3.3
Importance of Repeating Same Tasks 3.3
Exposed to Minor Burns, Cuts, Bites, or Stings 3.2
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.1
Consequence of Error 3.0
Deal With External Customers or the Public in General 2.9
Spend Time Keeping or Regaining Balance 2.8
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 2.8
Level of Competition 2.7

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 70.8%
Post-Secondary Certificate 13.0%
Less than a High School Diploma 10.7%
Some College Courses 2.8%
Associate's Degree (or other 2-year degree) 1.3%
Bachelor's Degree 1.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 7.0
Conventional 3.9
Investigative 2.2
Social 2.0

Interest areas

Mechanics/Electronics 6.2
Physical/Manual Labor 6.0
Engineering 3.3
Transportation/Machine Operation 2.4
Construction/Woodwork 2.1
Mathematics/Statistics 1.5
Physical Science 1.2
Personal Service 1.2

Work styles

Dependability 2.1
Attention to Detail 1.9
Cooperation 1.6
Cautiousness 1.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$31k10th$36k25th$40kMedian$48k75th$57k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
67k202467k2034 (proj.)+0.2% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $31,200
25th percentile $36,400
Median (50th) $39,890
75th percentile $47,520
90th percentile $56,770
People employed 64,440

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Construction · Sector 59,490 $39,430
Electrical Contractors and Other Wiring Installation Contractors · National industry 55,440 $39,070
Administrative and Support and Waste Management and Remediation Services · Sector 1,540 $43,660
Plumbing, Heating, and Air-Conditioning Contractors · National industry 1,210 $38,900
Temporary Help Services · National industry 1,210 $42,560
Power and Communication Line and Related Structures Construction · National industry 800 $45,010
Professional, Scientific, and Technical Services · Sector 480 $42,570
Manufacturing · Sector 470 $44,820
Engineering Services · National industry 350 $42,740
Utilities · Sector 320 $48,180
Solar Electric Power Generation · National industry 200 $42,060
Mining, Quarrying, and Oil and Gas Extraction · Sector 140 $55,590

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Electrical Contractors and Other Wiring Installation Contractors · National industry 123.72× 55,440
Solar Electric Power Generation · National industry 34.3× 200
Construction · Sector 17.53× 59,490
Power and Communication Line and Related Structures Construction · National industry 8.17× 800
Plumbing, Heating, and Air-Conditioning Contractors · National industry 2.29× 1,210
Other Building Equipment Contractors · National industry 2.18× 140
Utilities · Sector 1.32× 320
Temporary Help Services · National industry 1.09× 1,210

Part of the Construction career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Helpers--Electricians sits at the 4th percentile of AI task-overlap and the 13th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Helpers--Electricians Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons Helpers--Extraction Workers Boilermakers Millwrights Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Electrical Power-Line Installers and Repairers Lighting Technicians AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Helpers--Electricians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Adjacent roles

Occupations O*NET rates as related — the nearby moves on the map.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 2nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Helpers--Electricians show 4th-percentile AI task overlap — and about 6,800 annual U.S. openings

  • Helpers--Electricians rank in the 4th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 6,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+0.2%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $39,890, across about 64,440 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Helpers--Electricians show 4th-percentile AI task overlap — and about 6,800 annual U.S. openings

• Helpers--Electricians rank in the 4th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 6,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+0.2%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $39,890, across about 64,440 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Helpers--Electricians". https://singulariki.com/roles/role-47-3013-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Helpers--Electricians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-47-3013-00

APA

Singulariki. (2026). Helpers--Electricians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-3013-00

BibTeX 
@misc{singulariki-role-47-3013-00,
  title  = {Helpers--Electricians},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-47-3013-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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