# Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation

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

- **SOC code:** 53-6051.07
- **Canonical URL:** https://singulariki.com/roles/role-53-6051-07
- **Also known as:** Carman, Inspector, Smog Technician, Transit Vehicle Inspector, Car Inspector, Emissions Inspector, Quality Assurance Inspector, Railroad Track Inspector
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Inspect vehicles or other equipment for evidence of abuse, damage, or mechanical malfunction.
- Identify modifications to engines, fuel systems, emissions control equipment, or other vehicle systems to determine the impact of modifications on inspection procedures or conclusions.
- Conduct remote inspections of motor vehicles, using handheld controllers and remotely directed vehicle inspection devices.
- Prepare reports on investigations or inspections and actions taken.
- Inspect vehicles or equipment to ensure compliance with rules, standards, or regulations.
- Inspect repairs to transportation vehicles or equipment to ensure that repair work was performed properly.
- Issue notices and recommend corrective actions when infractions or problems are found.
- Conduct visual inspections of emission control equipment and smoke emitted from gasoline or diesel vehicles.
- Conduct vehicle or transportation equipment tests, using diagnostic equipment.
- Investigate incidents or violations, such as delays, accidents, and equipment failures.
- Review commercial vehicle logs, shipping papers, or driver and equipment records to detect any problems or to ensure compliance with regulations.
- Attach onboard diagnostics (OBD) scanner cables to vehicles to conduct emissions inspections.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mechanical _(knowledge)_
- Near Vision _(ability)_
- Problem Sensitivity _(ability)_
- Oral Comprehension _(ability)_
- Quality Control Analysis _(transferable_skill)_
- Transportation _(knowledge)_
- Operations Monitoring _(transferable_skill)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Flexibility of Closure _(ability)_
- Arm-Hand Steadiness _(ability)_
- Reading Comprehension _(essential_skill)_

**Skills in demand:**
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- English Language _(Common Skill)_
- Active Listening _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Visualization _(Specialized Skill)_
- Time Management _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Structured query language SQL _(hot technology)_
- ASPEN
- Commercial driver's license information system CDLIS
- Diagnostic scanner software
- Inspection Selection System ISS
- Law enforcement database software
- Past Inspection Query PIQ

## AI exposure & outlook

- **AI task-overlap index:** 47th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 44th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 56th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 43rd percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 78th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.7% growth (About average); 2.5k annual openings; 25.7k → 26.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $85,750; 23,320 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-53-6051-07_