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Singulariki

Team Assemblers

Occupation · SOC 51-2092.00

Work as part of a team having responsibility for assembling an entire product or component of a product. Team assemblers can perform all tasks conducted by the team in the assembly process and rotate through all or most of them, rather than being assigned to a specific task on a permanent basis. May participate in making management decisions affecting the work. Includes team leaders who work as part of the team.

Also called: Assembler · Assembly Line Machine Operator · Assembly Line Worker · Assembly Technician · Assembly Associate · Assembly Operator · Certified Composites Technician (CCT) · Manufacturing Associate · Production Line Worker · Assembly Inspector · Assembly Worker · Automotive Production Worker

Job family: Production Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-2092-00/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.

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 24th -0.8
LLM task exposure, γ (OpenAI / Eloundou) Low 32nd 0.3

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.2), and including AI-powered software (γ 0.3). 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.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

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 1.0 · 94th percentile among occupations · High

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.

32% mean task exposure (2025)
60th percentile of 427 placed occupations
−3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Assemblers Not Elsewhere Classified · 8219 32% Minimal

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 11 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).

Knowledge

Production and Processing 4.3
Mechanical 3.7
Public Safety and Security 3.5
English Language 3.4
Education and Training 3.4
Computers and Electronics 3.4
Design 3.3
Engineering and Technology 3.3
Mathematics 3.1
Administration and Management 3.0

Abilities

Manual Dexterity 3.8
Information Ordering 3.3
Finger Dexterity 3.3
Near Vision 3.3
Oral Comprehension 3.1
Problem Sensitivity 3.1
Deductive Reasoning 3.1
Arm-Hand Steadiness 3.1
Speech Recognition 3.1
Speech Clarity 3.1
Written Comprehension 3.0
Oral Expression 3.0
Written Expression 3.0
Inductive Reasoning 3.0
Category Flexibility 3.0
Visualization 3.0
Selective Attention 3.0
Control Precision 3.0
Trunk Strength 3.0

Essential skills

Active Listening 3.1
Monitoring 3.1
Reading Comprehension 3.0
Speaking 3.0
Critical Thinking 3.0

Transferable skills

Quality Control Analysis 3.1
Social Perceptiveness 3.0
Coordination 3.0
Instructing 3.0
Operations Monitoring 3.0
Time Management 3.0

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
Autodesk AutoCAD Computer aided design CAD software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology

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 4.8
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.7
Importance of Being Exact or Accurate 4.7
Time Pressure 4.5
Work With or Contribute to a Work Group or Team 4.3
Contact With Others 4.1
Freedom to Make Decisions 4.0
Spend Time Making Repetitive Motions 3.9
Indoors, Environmentally Controlled 3.9
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.8
Health and Safety of Other Workers 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.6
Physical Proximity 3.6
Frequency of Decision Making 3.6
Spend Time Standing 3.6
Impact of Decisions on Co-workers or Company Results 3.6
Determine Tasks, Priorities and Goals 3.6
Exposed to Contaminants 3.5
Level of Competition 3.3
Work Outcomes and Results of Other Workers 3.2
Spend Time Bending or Twisting Your Body 3.0
Spend Time Walking or Running 3.0
Pace Determined by Speed of Equipment 2.9
Importance of Repeating Same Tasks 2.8
Exposed to Hazardous Equipment 2.8
Exposed to Minor Burns, Cuts, Bites, or Stings 2.7
E-Mail 2.6
Telephone Conversations 2.5
Exposed to Hazardous Conditions 2.5
Dealing With Unpleasant, Angry, or Discourteous People 2.5
Conflict Situations 2.5
Spend Time Sitting 2.5
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.3
Consequence of Error 2.3
Public Speaking 2.1
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.1
Indoors, Not Environmentally Controlled 2.1
Degree of Automation 2.1
Deal With External Customers or the Public in General 2.0

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.
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 81.5%
Bachelor's Degree 6.7%
Some College Courses 6.6%
Less than a High School Diploma 3.8%
Associate's Degree (or other 2-year degree) 0.9%
Post-Secondary Certificate 0.5%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 5.4
Conventional 4.6
Enterprising 3.9
Social 2.4
Artistic 1.6

Interest areas

Physical/Manual Labor 4.3
Mechanics/Electronics 2.9
Management/Administration 2.9
Engineering 2.9
Construction/Woodwork 2.2
Transportation/Machine Operation 1.9
Teaching/Education 1.7
Information Technology 1.6

Work styles

Dependability 3.0
Cooperation 2.1
Attention to Detail 2.0
Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical) for 10 occupations adjacent to Team Assemblers. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Millwrights Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders Engine and Other Machine Assemblers Electrical and Electronic Engineering Technologists and Technicians Industrial Engineering Technologists and Technicians Mechanical Engineering Technologists and Technicians Manufacturing Engineers 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 Team Assemblers — 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 60th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Team Assemblers sit at the 26th percentile of AI task overlap among U.S. occupations

  • Team Assemblers rank in the 26th 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
Copy the whole kit
Team Assemblers sit at the 26th percentile of AI task overlap among U.S. occupations

• Team Assemblers rank in the 26th 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)

Source: Singulariki — "Team Assemblers". https://singulariki.com/roles/role-51-2092-00
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. "Team Assemblers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “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-51-2092-00

APA

Singulariki. (2026). Team Assemblers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-2092-00

BibTeX 
@misc{singulariki-role-51-2092-00,
  title  = {Team Assemblers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “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-51-2092-00}
}

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

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