Automotive Service Technicians and Mechanics

Installation, Maintenance, and Repair Occupations
Código O*NET-SOC
49-3023.00

Diagnose, adjust, repair, or overhaul automotive vehicles.

Los nombres de las ocupaciones y las descripciones de tareas se muestran en inglés, tal como se publicaron. Las etiquetas, incluidos los tipos de tarea, están traducidas.

Exposición a la IA

  • Fuente de datos: BLSPublicado: 2026-08

    Moderado· relativa

    BajoCuatro bandas relativasMuy alto

    Valor por grupo ocupacional

    Escala, base y fuente

    Cuatro bandas relativas (Bajo / Moderado / Alto / Muy alto)

    831 ocupaciones detalladas de la tabla de proyecciones de empleo de BLS. El valor se asigna por código de la National Employment Matrix (NEM), de modo que las ocupaciones que comparten un código NEM reciben la misma banda

    Conjunto de datos de origen (descarga XLSX)

  • Fuente de datos: AnthropicPublicado: 2026-03

    0.000

    0.000Rango de los valores aquí recogidos0.745
    Escala, base y fuente

    Índice de exposición observada, 0–1 tal como se publica

    Mapeado sobre tareas de O*NET

    Publicado por ocupación SOC 2018; toda ocupación O*NET con el mismo código SOC 2018 recibe este valor

    Conjunto de datos de origen (descarga CSV)

  • Fuente de datos: ILOPublicado: 2025

    0.18

    0.09Rango de los valores aquí recogidos0.70

    Valor por grupo ocupacional

    Escala, base y fuente

    Índice de exposición a la IA generativa, 0–1 tal como se publica

    Publicado por grupo primario ISCO-08. Vinculado a esta ocupación, total o parcialmente, aplicando tal como se publicaron las tablas de correspondencia de la U.S. Bureau of Labor Statistics (ISCO-08 a SOC 2010, SOC 2010 a SOC 2018)

    Conjunto de datos de origen (descarga PDF)

Qué tipo de cifra publica esta fuente

La categoría de BLS es un rango relativo, no un nivel absoluto, y tampoco es una medición de primera mano: agrupa en cuatro bandas los rangos percentiles de la ocupación en varios estudios publicados. No es una previsión de empleo ni de salarios, no es una probabilidad de adopción y no distingue entre automatización y aumento.

Exposición a la IA (rúbrica de OpenAI)

30 tareas evaluadas · 4 tareas con β ≥ 0,5 (13.3%)

β = exposición directa (E1) + 0,5 × exposición con herramientas disponibles (E2), según la definición del repositorio de origen.

  • Unidad de origen: tareas de O*NET 27.2 → código de ocupación de O*NET 31.0
  • Todas las tareas puntuadas figuran en la lista de tareas de O*NET 31.0.
Fuente
OpenAI "GPTs are GPTs" exposure rubric
Versión
gh-main-0471612
Licencia
MIT License, Copyright (c) 2024 OpenAI

Tareas

Descripciones de tareas de la O*NET® 31.0 Database, primero las tareas principales.

TareaTipoβ (OpenAI)
Test drive vehicles and test components and systems, using equipment such as infrared engine analyzers, compression gauges, and computerized diagnostic devices.Principal0
Inspect vehicles for damage and record findings so that necessary repairs can be made.Principal0,5
Test and adjust repaired systems to meet manufacturers' performance specifications.Principal0
Repair, reline, replace, and adjust brakes.Principal0
Review work orders and discuss work with supervisors.Principal0
Troubleshoot fuel, ignition, and emissions control systems, using electronic testing equipment.Principal0
Confer with customers to obtain descriptions of vehicle problems and to discuss work to be performed and future repair requirements.Principal0
Align vehicles' front ends.Principal0
Test electronic computer components in automobiles to ensure proper operation.Principal0
Tear down, repair, and rebuild faulty assemblies, such as power systems, steering systems, and linkages.Principal0
Perform routine and scheduled maintenance services, such as oil changes, lubrications, and tune-ups.Principal0
Follow checklists to ensure all important parts are examined, including belts, hoses, steering systems, spark plugs, brake and fuel systems, wheel bearings, and other potentially troublesome areas.Principal0
Plan work procedures, using charts, technical manuals, and experience.Principal1
Maintain cleanliness of work area.Principal0
Align wheels, axles, frames, torsion bars, and steering mechanisms of automobiles, using special alignment equipment and wheel-balancing machines.Principal0
Tune automobile engines to ensure proper and efficient functioning.Principal0
Repair, replace, or adjust defective fuel injectors, carburetor parts, and gasoline filters.Principal0
Repair and service air conditioning, heating, engine cooling, and electrical systems.Principal0
Disassemble units and inspect parts for wear, using micrometers, calipers, and gauges.Principal0
Change spark plugs, fuel filters, air filters, and batteries in hybrid electric vehicles.Principal0
Overhaul or replace carburetors, blowers, generators, distributors, starters, and pumps.Principal0
Repair or replace parts such as pistons, rods, gears, valves, and bearings.Principal0
Rewire ignition systems, lights, and instrument panels.Principal0
Install, adjust, or repair hydraulic or electromagnetic automatic lift mechanisms used to raise and lower automobile windows, seats, and tops.Principal0
Diagnose and replace or repair engine management systems or related sensors for flexible fuel vehicles (FFVs) with ignition timing, fuel rate, alcohol concentration, or air-to-fuel ratio malfunctions.Principal0
Estimate costs of vehicle repair.Complementaria0,5
Rebuild parts, such as crankshafts and cylinder blocks.Complementaria0
Conduct visual inspections of compressed natural gas fuel systems to identify cracks, gouges, abrasions, discoloration, broken fibers, loose brackets, damaged gaskets, or other problems.Complementaria0,5
Repair or rebuild transmissions.Complementaria0
Retrofit vehicle fuel systems with aftermarket products, such as vapor transfer devices, evaporation control devices, swirlers, lean burn devices, and friction reduction devices, to enhance combustion and fuel efficiency.Complementaria0

Información ocupacional

Fuentes y atribución

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: 49-3023.00 Automotive Service Technicians and Mechanics

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.

Atribución y licencias completas