Maintenance and Repair Workers, General
Installation, Maintenance, and Repair Occupations- رمز O*NET-SOC
- 49-9071.00
Perform work involving the skills of two or more maintenance or craft occupations to keep machines, mechanical equipment, or the structure of a building in repair. Duties may involve pipe fitting; HVAC maintenance; insulating; welding; machining; carpentry; repairing electrical or mechanical equipment; installing, aligning, and balancing new equipment; and repairing buildings, floors, or stairs.
تُعرض أسماء المهن وأوصاف المهام بالإنجليزية كما نُشرت. أما التسميات، ومنها أنواع المهام، فمترجمة.
التعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
منخفض· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)
831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.000
0.000نطاق القيم المعروضة هنا0.745المقياس والأساس والمصدر
مؤشر التعرّض المرصود، 0–1 كما نُشر
مربوط بمهام O*NET
منشورة لكل مهنة في SOC 2018؛ وكل مهنة في O*NET تحمل رمز SOC 2018 نفسه تأخذ هذه القيمة
- مصدر البيانات: ILOتاريخ النشر: 2025
0.11
0.09نطاق القيم المعروضة هنا0.70قيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر
قيمة منشورة على مستوى مجموعة الوحدة في ISCO-08. رُبطت بهذه المهنة بتطبيق جداول التناظر الرسمية لمكتب إحصاءات العمل الأمريكي (BLS) (من ISCO-08 إلى SOC 2010، ومن SOC 2010 إلى SOC 2018) كما نُشرت، والتناظر كلي أو جزئي
ما نوع القيمة التي ينشرها هذا المصدر
فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.
التعرض للذكاء الاصطناعي (معيار OpenAI)
30 مهمة مقيَّمة · 6 مهمة بقيمة β ≥ 0.5 (20.0%)
β = التعرّض المباشر (E1) + 0.5 × التعرّض عند توفر الأدوات (E2)، وفق تعريف المستودع المصدري.
- وحدة المصدر: مهام O*NET 27.2 ← رمز المهنة في O*NET 31.0
- عدد المهام المقيَّمة غير الموجودة في قائمة مهام O*NET 31.0: 3؛ وتبقى درجاتها كما نُشرت وفق O*NET 27.2.
- المصدر
- OpenAI "GPTs are GPTs" exposure rubric
- الإصدار
- gh-main-0471612
- الترخيص
- MIT License, Copyright (c) 2024 OpenAI
المهام
أوصاف المهام من O*NET® 31.0 Database، والمهام الأساسية أولًا.
| المهمة | النوع | β (OpenAI) |
|---|---|---|
| Assemble, install, or repair wiring, electrical or electronic components, pipe systems, plumbing, machinery, or equipment. | أساسية | 0 |
| Diagnose mechanical problems and determine how to correct them, checking blueprints, repair manuals, or parts catalogs, as necessary. | أساسية | 0.5 |
| Inspect, operate, or test machinery or equipment to diagnose machine malfunctions. | أساسية | 0 |
| Record type and cost of maintenance or repair work. | أساسية | 1 |
| Clean or lubricate shafts, bearings, gears, or other parts of machinery. | أساسية | 0 |
| Plan and lay out repair work, using diagrams, drawings, blueprints, maintenance manuals, or schematic diagrams. | أساسية | 0.5 |
| Adjust functional parts of devices or control instruments, using hand tools, levels, plumb bobs, or straightedges. | أساسية | 0 |
| Paint or repair roofs, windows, doors, floors, woodwork, plaster, drywall, or other parts of building structures. | أساسية | 0 |
| Align and balance new equipment after installation. | أساسية | 0 |
| Set up and operate machine tools to repair or fabricate machine parts, jigs, fixtures, or tools. | أساسية | 0 |
| Fabricate or repair counters, benches, partitions, or other wooden structures, such as sheds or outbuildings. | أساسية | 0 |
| Install equipment to improve the energy or operational efficiency of residential or commercial buildings. | أساسية | 0 |
| Dismantle machines, equipment, or devices to access and remove defective parts, using hoists, cranes, hand tools, or power tools. | أساسية | 0 |
| Perform routine maintenance, such as inspecting drives, motors, or belts, checking fluid levels, replacing filters, or doing other preventive maintenance actions. | أساسية | 0 |
| Repair machines, equipment, or structures, using tools such as hammers, hoists, saws, drills, wrenches, or equipment such as precision measuring instruments or electrical or electronic testing devices. | أساسية | 0 |
| Maintain or repair specialized equipment or machinery located in cafeterias, laundries, hospitals, stores, offices, or factories. | أساسية | 0 |
| Order parts, supplies, or equipment from catalogs or suppliers. | أساسية | 0.5 |
| Perform general cleaning of buildings or properties. | أساسية | 0 |
| Train or manage maintenance personnel or subcontractors. | أساسية | 0 |
| Estimate costs to repair machinery, equipment, or building structures. | أساسية | 0.5 |
| Design new equipment to aid in the repair or maintenance of machines, mechanical equipment, or building structures. | أساسية | 0.5 |
| Operate cutting torches or welding equipment to cut or join metal parts. | تكميلية | 0 |
| Inspect used parts to determine changes in dimensional requirements, using rules, calipers, micrometers, or other measuring instruments. | تكميلية | 0 |
| Assemble boilers at installation sites, using tools such as levels, plumb bobs, hammers, torches, or other hand tools. | تكميلية | 0 |
| Perform routine maintenance on boilers, such as replacing burners or hoses, installing replacement parts, or reinforcing structural weaknesses to ensure optimal boiler efficiency. | تكميلية | 0 |
| Position, attach, or blow insulating materials to prevent energy losses from buildings, pipes, or other structures or objects. | تكميلية | 0 |
| Provide groundskeeping services, such as landscaping or snow removal. | تكميلية | 0 |
معلومات مهنية
المصادر والإسناد
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: 49-9071.00 Maintenance and Repair Workers, General
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.