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Singulariki

Mechanical Door Repairers

Occupation · SOC 49-9011.00

Install, service, or repair automatic door mechanisms and hydraulic doors. Includes garage door mechanics.

Also called: Door Installer · Garage Door Installer · Garage Door Technician · Service Technician · Commercial Door Installer · Commercial Installer · Door Technician · Installation Technician · Residential Door Installer · Automated Access Systems Technician · Automatic Door Mechanic · Automatic Door Technician

Job family: Installation, Maintenance, and Repair Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-49-9011-00/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.

14th-percentile task overlap — yet about 2,700 openings a year (+11.4% 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 7th -1.4
LLM task exposure, γ (OpenAI / Eloundou) Low 23rd 0.2
AI assistant applicability (Microsoft) Low 22nd 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 0.2). 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 0.9 · 81st percentile among occupations · High

Job outlook

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

Outlook Growing fast · +11.4% by 2034
Projected annual openings 2,700
Employment 2024 → 2034 28,400 → 31,700

“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.

17% mean task exposure (2025)
24th percentile of 427 placed occupations
+4 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Electrical Mechanics and Fitters · 7412 17% 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 25 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

Mechanical 3.9
Customer and Personal Service 3.8
Building and Construction 3.7
Engineering and Technology 3.1

Abilities

Arm-Hand Steadiness 3.9
Manual Dexterity 3.9
Near Vision 3.8
Problem Sensitivity 3.6
Trunk Strength 3.6
Finger Dexterity 3.4
Static Strength 3.4
Extent Flexibility 3.4
Oral Comprehension 3.3
Written Comprehension 3.1
Oral Expression 3.1
Information Ordering 3.1
Control Precision 3.1
Multilimb Coordination 3.1
Speech Recognition 3.1
Speech Clarity 3.1
Written Expression 3.0
Deductive Reasoning 3.0
Inductive Reasoning 3.0
Visualization 3.0
Gross Body Coordination 3.0

Essential skills

Critical Thinking 3.5
Reading Comprehension 3.1
Active Listening 3.1
Speaking 3.1
Active Learning 3.0
Monitoring 3.0

Transferable skills

Quality Control Analysis 3.3
Installation 3.1
Social Perceptiveness 3.0
Coordination 3.0
Instructing 3.0
Service Orientation 3.0
Complex Problem Solving 3.0
Operations Monitoring 3.0
Repairing 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
Facebook Web page creation and editing 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 Windows Operating system software Hot technology
Route mapping software Route navigation software
Web browser software Internet browser software
Work order software Data base user interface and query 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.

Telephone Conversations 4.8
In an Enclosed Vehicle or Operate Enclosed Equipment 4.7
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.5
Face-to-Face Discussions with Individuals and Within Teams 4.5
Contact With Others 4.4
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.3
Freedom to Make Decisions 4.3
Frequency of Decision Making 4.2
Exposed to Very Hot or Cold Temperatures 4.2
Outdoors, Exposed to All Weather Conditions 4.1
Exposed to High Places 4.1
Exposed to Hazardous Equipment 4.0
Spend Time Standing 4.0
Impact of Decisions on Co-workers or Company Results 4.0
Determine Tasks, Priorities and Goals 4.0
Time Pressure 4.0
Work With or Contribute to a Work Group or Team 3.9
Physical Proximity 3.9
Importance of Being Exact or Accurate 3.9
Deal With External Customers or the Public in General 3.9
Indoors, Not Environmentally Controlled 3.9
Outdoors, Under Cover 3.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.7
Exposed to Contaminants 3.7
Exposed to Minor Burns, Cuts, Bites, or Stings 3.7
Spend Time Climbing Ladders, Scaffolds, or Poles 3.6
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.5
Spend Time Bending or Twisting Your Body 3.4
Spend Time Making Repetitive Motions 3.4
Exposed to Cramped Work Space, Awkward Positions 3.3
Level of Competition 3.2
Importance of Repeating Same Tasks 3.2
Work Outcomes and Results of Other Workers 3.1
Coordinate or Lead Others in Accomplishing Work Activities 3.1
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.1
Consequence of Error 3.0
E-Mail 3.0
Health and Safety of Other Workers 2.9
Spend Time Walking or Running 2.8
Written Letters and Memos 2.8

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%
Less than a High School Diploma 17.3%
Post-Secondary Certificate 11.8%
Some College Courses 0.1%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.9
Conventional 4.0
Investigative 1.8
Social 1.5

Interest areas

Physical/Manual Labor 5.9
Mechanics/Electronics 5.8
Engineering 3.6
Construction/Woodwork 2.5
Transportation/Machine Operation 2.0
Personal Service 1.5
Information Technology 1.3
Sales 1.3

Work styles

Dependability 2.3
Attention to Detail 2.0
Cautiousness 1.7
Integrity 1.4

Wages & employment

U.S. · annual wages (BLS OEWS)

$37k10th$45k25th$51kMedian$61k75th$73k90th
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.
28k202432k2034 (proj.)+11.4% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $37,160
25th percentile $44,720
Median (50th) $51,050
75th percentile $61,350
90th percentile $73,160
People employed 27,970

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 20,550 $52,240
Other Building Equipment Contractors · National industry 8,470 $57,940
Retail Trade · Sector 5,580 $49,510
Manufacturing · Sector 650 $50,470
Wholesale Trade · Sector 630 $59,970
Other Services (except Public Administration) · Sector 310 $61,420
Drywall and Insulation Contractors · National industry 100 $53,060
Administrative and Support and Waste Management and Remediation Services · Sector $52,000
Temporary Help Services · National industry $52,000

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
Other Building Equipment Contractors · National industry 304.06× 8,470
Construction · Sector 13.95× 20,550
Drywall and Insulation Contractors · National industry 2.24× 100
Retail Trade · Sector 1.97× 5,580
Wholesale Trade · Sector 0.58× 630
Other Services (except Public Administration) · Sector 0.39× 310
Manufacturing · Sector 0.28× 650

Part of the Construction career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Mechanical Door Repairers sits at the 14th percentile of AI task-overlap and the 36th 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 Mechanical Door Repairers Structural Iron and Steel Workers Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters Rail Car Repairers Glaziers Carpenters Elevator and Escalator Installers and Repairers Maintenance and Repair Workers, General Electricians 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 Mechanical Door Repairers — 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.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 24th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Mechanical Door Repairers show 14th-percentile AI task overlap — and about 2,700 annual U.S. openings

  • Mechanical Door Repairers rank in the 14th 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 2,700 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 growing fast (+11.4%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $51,050, across about 27,970 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Mechanical Door Repairers show 14th-percentile AI task overlap — and about 2,700 annual U.S. openings

• Mechanical Door Repairers rank in the 14th 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 2,700 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 growing fast (+11.4%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $51,050, across about 27,970 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Mechanical Door Repairers". https://singulariki.com/roles/role-49-9011-00
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. "Mechanical Door Repairers." 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-49-9011-00

APA

Singulariki. (2026). Mechanical Door Repairers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-49-9011-00

BibTeX
@misc{singulariki-role-49-9011-00,
  title  = {Mechanical Door Repairers},
  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-49-9011-00}
}

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

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