Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation
Transportation and Material Moving Occupations- O*NET-SOC code
- 53-6051.07
Inspect and monitor transportation equipment, vehicles, or systems to ensure compliance with regulations and safety standards.
AI exposure
- Data source: BLSPublished: 2026-08
Moderate· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Group-level value
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
- Data source: ILOPublished: 2025
0.24
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
AI exposure (OpenAI rubric)
21 rated tasks · 15 tasks with β ≥ 0.5 (71.4%)
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
- Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
- 1 rated task is not in the O*NET 31.0 task list; its score is kept as published for O*NET 27.2.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
Tasks
Task statements from the O*NET® 31.0 Database, core tasks first.
| Task | Type | β (OpenAI) |
|---|---|---|
| Inspect vehicles or other equipment for evidence of abuse, damage, or mechanical malfunction. | Core | 0.5 |
| Inspect vehicles or equipment to ensure compliance with rules, standards, or regulations. | Core | 0.5 |
| Inspect repairs to transportation vehicles or equipment to ensure that repair work was performed properly. | Core | 0 |
| Issue notices and recommend corrective actions when infractions or problems are found. | Core | 1 |
| Investigate complaints regarding safety violations. | Core | 0.5 |
| Conduct vehicle or transportation equipment tests, using diagnostic equipment. | Supplemental | 0 |
| Prepare reports on investigations or inspections and actions taken. | Supplemental | 1 |
| Examine carrier operating rules, employee qualification guidelines, or carrier training and testing programs for compliance with regulations or safety standards. | Supplemental | 0.5 |
| Investigate and make recommendations on carrier requests for waiver of federal standards. | Supplemental | 0.5 |
| Review commercial vehicle logs, shipping papers, or driver and equipment records to detect any problems or to ensure compliance with regulations. | Supplemental | 1 |
| Investigate incidents or violations, such as delays, accidents, and equipment failures. | Supplemental | 0.5 |
| Negotiate with authorities, such as local government officials, to eliminate hazards along transportation routes. | Supplemental | 0 |
| Evaluate new methods of packaging, testing, shipping, or transporting hazardous materials to ensure adequate public safety protection. | Supplemental | 0.5 |
| Attach onboard diagnostics (OBD) scanner cables to vehicles to conduct emissions inspections. | Supplemental | 0 |
| Compare emissions findings with applicable emissions standards. | Supplemental | 1 |
| Conduct remote inspections of motor vehicles, using handheld controllers and remotely directed vehicle inspection devices. | Supplemental | 0.5 |
| Conduct visual inspections of emission control equipment and smoke emitted from gasoline or diesel vehicles. | Supplemental | 0.5 |
| Identify emissions testing procedures and standards appropriate for the age and technology of vehicles. | Supplemental | 1 |
| Identify modifications to engines, fuel systems, emissions control equipment, or other vehicle systems to determine the impact of modifications on inspection procedures or conclusions. | Supplemental | 0 |
| Perform low-pressure fuel evaluative tests (LPFET) to test for harmful emissions from vehicles without onboard diagnostics (OBD) equipment. | Supplemental | 0 |
Occupation information
Sources and attribution
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 53-6051.07 Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.