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Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation

Occupation · SOC 53-6051.07

Inspect and monitor transportation equipment, vehicles, or systems to ensure compliance with regulations and safety standards.

Also called: Carman · Inspector · Smog Technician · Transit Vehicle Inspector · Car Inspector · Emissions Inspector · Quality Assurance Inspector · Railroad Track Inspector · Safety Officer · Air Brake Tester · Air Brakes Inspector · Auto Damage Auction Inspector (Automotive Damage Auction Inspector)

Job family: Transportation and Material Moving Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-53-6051-07/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.

47th-percentile task overlap — yet about 2,500 openings a year (+1.7% 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.) Moderate 44th -0.2
LLM task exposure, γ (OpenAI / Eloundou) Moderate 56th 0.7
AI assistant applicability (Microsoft) Moderate 43rd 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.5), and including AI-powered software (γ 0.7). 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 · 78th 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 About average · +1.7% by 2034
Projected annual openings 2,500
Employment 2024 → 2034 25,700 → 26,100

“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.

24% mean task exposure (2025)
44th percentile of 427 placed occupations
−8 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Environmental and Occupational Health Inspectors and Associates · 3257 24% 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 21 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 4.0
Transportation 3.3
English Language 3.2
Public Safety and Security 3.0
Administration and Management 3.0
Computers and Electronics 2.8

Abilities

Near Vision 3.9
Problem Sensitivity 3.8
Oral Comprehension 3.6
Flexibility of Closure 3.1
Arm-Hand Steadiness 3.1
Oral Expression 3.0
Deductive Reasoning 3.0
Inductive Reasoning 3.0
Selective Attention 3.0
Hearing Sensitivity 3.0
Auditory Attention 3.0
Speech Clarity 3.0
Category Flexibility 2.9
Perceptual Speed 2.9
Visualization 2.9
Manual Dexterity 2.9
Finger Dexterity 2.9
Control Precision 2.9
Multilimb Coordination 2.9
Extent Flexibility 2.9
Far Vision 2.9
Depth Perception 2.9
Speech Recognition 2.9

Transferable skills

Quality Control Analysis 3.5
Operations Monitoring 3.3
Operation and Control 3.0
Troubleshooting 3.0
Time Management 2.9

Essential skills

Active Listening 3.1
Reading Comprehension 3.0
Speaking 3.0
Critical Thinking 3.0
Monitoring 2.9
Active Learning 2.8

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 In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
ASPEN Data base user interface and query software
Commercial driver's license information system CDLIS Data base user interface and query software
Diagnostic scanner software Analytical or scientific software
Inspection Selection System ISS Data base user interface and query software
Law enforcement database software Data base user interface and query software
Past Inspection Query PIQ Data base user interface and query software
Vehicle identification number VIN database Data base user interface and query software
Vehicle inspection databases 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.

Face-to-Face Discussions with Individuals and Within Teams 4.9
Contact With Others 4.7
Frequency of Decision Making 4.6
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.5
Spend Time Standing 4.4
Impact of Decisions on Co-workers or Company Results 4.4
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.3
Importance of Being Exact or Accurate 4.3
Time Pressure 4.2
Freedom to Make Decisions 4.1
Determine Tasks, Priorities and Goals 4.0
Consequence of Error 3.9
Work With or Contribute to a Work Group or Team 3.9
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.9
Exposed to Minor Burns, Cuts, Bites, or Stings 3.9
Work Outcomes and Results of Other Workers 3.8
Indoors, Not Environmentally Controlled 3.8
Physical Proximity 3.8
Coordinate or Lead Others in Accomplishing Work Activities 3.8
Spend Time Walking or Running 3.8
Health and Safety of Other Workers 3.8
Exposed to Contaminants 3.8
Exposed to Hazardous Conditions 3.7
Outdoors, Exposed to All Weather Conditions 3.6
Telephone Conversations 3.6
In an Enclosed Vehicle or Operate Enclosed Equipment 3.6
Level of Competition 3.5
Importance of Repeating Same Tasks 3.3
Exposed to Hazardous Equipment 3.2
Spend Time Bending or Twisting Your Body 3.1
Conflict Situations 3.1
Spend Time Making Repetitive Motions 3.1
Dealing With Unpleasant, Angry, or Discourteous People 3.0
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.0
Outdoors, Under Cover 3.0
Pace Determined by Speed of Equipment 2.9
Exposed to Very Hot or Cold Temperatures 2.9
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.9
Indoors, Environmentally Controlled 2.7
Exposed to Cramped Work Space, Awkward Positions 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 57.8%
Less than a High School Diploma 13.1%
Post-Secondary Certificate 12.6%
Some College Courses 10.1%
Associate's Degree (or other 2-year degree) 6.4%

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 5.1
Investigative 3.7

Interest areas

Mechanics/Electronics 5.5
Transportation/Machine Operation 4.0
Engineering 3.4
Protective Service 2.3
Physical/Manual Labor 2.3
Mathematics/Statistics 1.5
Information Technology 1.5
Law 1.5
Office Work 1.4

Work styles

Dependability 4.0
Attention to Detail 3.0
Cautiousness 2.7
Integrity 2.2

Wages & employment

U.S. · annual wages (BLS OEWS)

$40k10th$59k25th$86kMedian$105k75th$137k90th
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.
26k202426k2034 (proj.)+1.7% · 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 $40,090
25th percentile $58,650
Median (50th) $85,750
75th percentile $105,020
90th percentile $137,120
People employed 23,320

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 53-6051), not for the specialty alone.

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
Transportation and Warehousing · Sector 7,520 $79,860
Other Services (except Public Administration) · Sector 1,800 $40,830
Manufacturing · Sector 1,410 $81,920
Wholesale Trade · Sector 640 $45,960
Administrative and Support and Waste Management and Remediation Services · Sector 350 $76,780
Professional, Scientific, and Technical Services · Sector 310 $66,560
Retail Trade · Sector 190 $41,200
Engineering Services · National industry 120 $88,920
Management of Companies and Enterprises · Sector 70 $84,460
Temporary Help Services · National industry 50 $66,560

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
Transportation and Warehousing · Sector 6.73× 7,520
Other Services (except Public Administration) · Sector 2.69× 1,800
Manufacturing · Sector 0.73× 1,410
Wholesale Trade · Sector 0.7× 640
Engineering Services · National industry 0.69× 120
Administrative and Support and Waste Management and Remediation Services · Sector 0.26× 350
Professional, Scientific, and Technical Services · Sector 0.19× 310
Retail Trade · Sector 0.08× 190

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation sits at the 47th percentile of AI task-overlap and the 75th 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 Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation Rail Car Repairers Bus and Truck Mechanics and Diesel Engine Specialists Ship Engineers Automotive Service Technicians and Mechanics Locomotive Engineers Inspectors, Testers, Sorters, Samplers, and Weighers Construction and Building Inspectors 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 Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation — 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 44th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation show 47th-percentile AI task overlap — and about 2,500 annual U.S. openings

  • Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation rank in the 47th percentile (Moderate 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 2,500 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 (+1.7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $85,750, across about 23,320 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation show 47th-percentile AI task overlap — and about 2,500 annual U.S. openings

• Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation rank in the 47th percentile (Moderate 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 2,500 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 (+1.7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $85,750, across about 23,320 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation". https://singulariki.com/roles/role-53-6051-07
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. "Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation." 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-53-6051-07

APA

Singulariki. (2026). Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-6051-07

BibTeX
@misc{singulariki-role-53-6051-07,
  title  = {Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation},
  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-53-6051-07}
}

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

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