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Singulariki

Manufactured Building and Mobile Home Installers

Occupation · SOC 49-9095.00

Move or install mobile homes or prefabricated buildings.

Also called: Mobile Home Installer · Mobile Home Laborer · Mobile Home Set-Up Person · Modular Set Crew Member · Delivery Crew Worker · Set Up Technician · Concrete Craftsman · Crew Member · Custom Home Installer · Delivery Builder · Delivery Crew Member · Fabrication and Layout Craftsman

Job family: Installation, Maintenance, and Repair Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-49-9095-00/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.

15th-percentile task overlap — yet about 300 openings a year (+5.9% 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 6th -1.4
LLM task exposure, γ (OpenAI / Eloundou) Low 11th 0.1
AI assistant applicability (Microsoft) Moderate 38th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.1). 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 0.2 · 33rd percentile among occupations · Low

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 · +5.9% by 2034
Projected annual openings 300
Employment 2024 → 2034 3,100 → 3,300

“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 Frame and Related Trades Workers Not Elsewhere Classified · 7119 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 14 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

Multilimb Coordination 4.4
Control Precision 4.3
Arm-Hand Steadiness 4.0
Manual Dexterity 4.0
Problem Sensitivity 3.9
Finger Dexterity 3.9
Reaction Time 3.9
Visualization 3.8
Trunk Strength 3.8
Near Vision 3.8
Static Strength 3.6
Extent Flexibility 3.6
Depth Perception 3.6
Oral Comprehension 3.5
Response Orientation 3.5
Stamina 3.5
Far Vision 3.5
Oral Expression 3.4

Knowledge

Building and Construction 4.4
Public Safety and Security 4.2
Customer and Personal Service 4.0
Design 3.8
Transportation 3.7
Engineering and Technology 3.6
Mathematics 3.6
Mechanical 3.5

Essential skills

Critical Thinking 3.8
Monitoring 3.5
Active Listening 3.4
Speaking 3.4
Active Learning 3.4
Learning Strategies 3.4

Transferable skills

Operation and Control 3.8
Quality Control Analysis 3.8
Operations Monitoring 3.6
Coordination 3.5
Judgment and Decision Making 3.5
Complex Problem Solving 3.4
Time Management 3.4
Management of Personnel Resources 3.4

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
Email software Electronic mail software
Web browser software Internet browser 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.

Exposed to Hazardous Equipment 4.9
Spend Time Standing 4.8
Spend Time Bending or Twisting Your Body 4.7
Spend Time Kneeling, Crouching, Stooping, or Crawling 4.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.5
Frequency of Decision Making 4.5
Outdoors, Exposed to All Weather Conditions 4.4
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.4
Importance of Being Exact or Accurate 4.3
Impact of Decisions on Co-workers or Company Results 4.3
Spend Time Making Repetitive Motions 4.3
Time Pressure 4.2
Freedom to Make Decisions 4.2
Determine Tasks, Priorities and Goals 4.2
Telephone Conversations 4.1
Exposed to Very Hot or Cold Temperatures 4.0
Work Outcomes and Results of Other Workers 3.9
Exposed to Cramped Work Space, Awkward Positions 3.9
Physical Proximity 3.9
Exposed to Minor Burns, Cuts, Bites, or Stings 3.8
Health and Safety of Other Workers 3.8
Work With or Contribute to a Work Group or Team 3.8
Conflict Situations 3.8
Face-to-Face Discussions with Individuals and Within Teams 3.8
Contact With Others 3.8
Exposed to Contaminants 3.8
Spend Time Climbing Ladders, Scaffolds, or Poles 3.5
Spend Time Walking or Running 3.4
Exposed to High Places 3.4
Level of Competition 3.4
In an Enclosed Vehicle or Operate Enclosed Equipment 3.3
Dealing With Unpleasant, Angry, or Discourteous People 3.3
Consequence of Error 3.2
In an Open Vehicle or Operating Equipment 3.1
Exposed to Whole Body Vibration 2.9
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.9
Spend Time Keeping or Regaining Balance 2.9
Exposed to Hazardous Conditions 2.8
Importance of Repeating Same Tasks 2.6
Pace Determined by Speed of Equipment 2.6

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.

What to study: Construction Trades . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

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

Less than a High School Diploma 59.2%
High School Diploma 39.5%
Post-Secondary Certificate 1.2%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.8
Conventional 3.9
Investigative 1.9
Social 1.7
Artistic 1.5

Interest areas

Physical/Manual Labor 6.4
Construction/Woodwork 4.5
Mechanics/Electronics 4.3
Transportation/Machine Operation 2.7
Engineering 2.5
Personal Service 1.3
Management/Administration 1.3
Mathematics/Statistics 1.2

Work styles

Dependability 2.3
Attention to Detail 2.0
Cautiousness 1.5

Wages & employment

U.S. · annual wages (BLS OEWS)

$30k10th$35k25th$41kMedian$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.
3k20243k2034 (proj.)+5.9% · 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 $30,280
25th percentile $35,290
Median (50th) $41,080
75th percentile $48,410
90th percentile $57,190
People employed 2,610

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
Retail Trade · Sector 1,070 $44,150
Manufacturing · Sector 580 $45,240
Construction · Sector 200 $48,600
Transportation and Warehousing · Sector — $34,780

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
Retail Trade · Sector 4.05× 1,070
Manufacturing · Sector 2.68× 580
Construction · Sector 1.45× 200

Part of the Advanced Manufacturing career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Manufactured Building and Mobile Home Installers sits at the 15th percentile of AI task-overlap and the 15th 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 Manufactured Building and Mobile Home Installers Structural Iron and Steel Workers Construction Laborers Helpers--Installation, Maintenance, and Repair Workers Structural Metal Fabricators and Fitters Millwrights Carpenters Maintenance and Repair Workers, General 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 Manufactured Building and Mobile Home Installers — 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

Manufactured Building and Mobile Home Installers show 15th-percentile AI task overlap — and about 300 annual U.S. openings

  • Manufactured Building and Mobile Home Installers rank in the 15th 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 300 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 (+5.9%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $41,080, across about 2,610 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Manufactured Building and Mobile Home Installers show 15th-percentile AI task overlap — and about 300 annual U.S. openings

• Manufactured Building and Mobile Home Installers rank in the 15th 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 300 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 (+5.9%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $41,080, across about 2,610 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Manufactured Building and Mobile Home Installers". https://singulariki.com/roles/role-49-9095-00
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. "Manufactured Building and Mobile Home Installers." 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-49-9095-00

APA

Singulariki. (2026). Manufactured Building and Mobile Home Installers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-49-9095-00

BibTeX 
@misc{singulariki-role-49-9095-00,
  title  = {Manufactured Building and Mobile Home Installers},
  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-49-9095-00}
}

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

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