رمز O*NET-SOC
17-2141.00

Perform engineering duties in planning and designing tools, engines, machines, and other mechanically functioning equipment. Oversee installation, operation, maintenance, and repair of equipment such as centralized heat, gas, water, and steam systems.

تُعرض أسماء المهن وأوصاف المهام بالإنجليزية كما نُشرت. أما التسميات، ومنها أنواع المهام، فمترجمة.

التعرّض للذكاء الاصطناعي

  • مصدر البيانات: BLSتاريخ النشر: 2026-08

    مرتفع جدًا· نسبي

    منخفضأربع فئات نسبيةمرتفع جدًا

    قيمة 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

    مجموعة البيانات المصدر (تنزيل ملف XLSX)

  • مصدر البيانات: Anthropicتاريخ النشر: 2026-03

    0.081

    0.000نطاق القيم المعروضة هنا0.745

    قيمة على مستوى المجموعة المهنية

    المقياس 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

    مجموعة البيانات المصدر (تنزيل ملف CSV)

  • مصدر البيانات: ILOتاريخ النشر: 2025

    0.32

    0.09نطاق القيم المعروضة هنا0.70

    قيمة 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

    مجموعة البيانات المصدر (تنزيل ملف PDF)

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)

28 مهمة مقيَّمة · 24 مهمة بقيمة β ≥ 0.5 (85.7%)

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
  • جميع المهام المقيَّمة موجودة في قائمة مهام O*NET 31.0.
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.

المهمةالنوعβ (OpenAI)
Read and interpret blueprints, technical drawings, schematics, or computer-generated reports.أساسية0.5
Confer with engineers or other personnel to implement operating procedures, resolve system malfunctions, or provide technical information.أساسية0.5
Research and analyze customer design proposals, specifications, manuals, or other data to evaluate the feasibility, cost, or maintenance requirements of designs or applications.أساسية0.5
Provide feedback to design engineers on customer problems or needs.أساسية0.5
Oversee installation, operation, maintenance, or repair to ensure that machines or equipment are installed and functioning according to specifications.أساسية0
Conduct research that tests or analyzes the feasibility, design, operation, or performance of equipment, components, or systems.أساسية0.5
Recommend design modifications to eliminate machine or system malfunctions.أساسية0.5
Develop, coordinate, or monitor all aspects of production, including selection of manufacturing methods, fabrication, or operation of product designs.أساسية0.5
Write performance requirements for product development or engineering projects.أساسية1
Research, design, evaluate, install, operate, or maintain mechanical products, equipment, systems or processes to meet requirements.أساسية0.5
Investigate equipment failures or difficulties to diagnose faulty operation and recommend remedial actions.أساسية0.5
Develop or test models of alternate designs or processing methods to assess feasibility, sustainability, operating condition effects, potential new applications, or necessity of modification.أساسية0.5
Specify system components or direct modification of products to ensure conformance with engineering design, performance specifications, or environmental regulations.أساسية0.5
Assist drafters in developing the structural design of products, using drafting tools or computer-assisted drafting equipment or software.أساسية0.5
Estimate costs or submit bids for engineering, construction, or extraction projects.أساسية0.5
Provide technical customer service.أساسية0.5
Establish or coordinate the maintenance or safety procedures, service schedule, or supply of materials required to maintain machines or equipment in the prescribed condition.تكميلية0.5
Apply engineering principles or practices to emerging fields, such as robotics, waste management, or biomedical engineering.تكميلية0.5
Design test control apparatus or equipment or develop procedures for testing products.تكميلية0.5
Calculate energy losses for buildings, using equipment such as computers, combustion analyzers, or pressure gauges.تكميلية0.5
Design integrated mechanical or alternative systems, such as mechanical cooling systems with natural ventilation systems, to improve energy efficiency.تكميلية0.5
Direct the installation, operation, maintenance, or repair of renewable energy equipment, such as heating, ventilating, and air conditioning (HVAC) or water systems.تكميلية0
Evaluate mechanical designs or prototypes for energy performance or environmental impact.تكميلية0.5
Recommend the use of utility or energy services that minimize carbon footprints.تكميلية0.5
Select or install combined heat units, power units, cogeneration equipment, or trigeneration equipment that reduces energy use or pollution.تكميلية0
Perform personnel functions, such as supervision of production workers, technicians, technologists, or other engineers.تكميلية0
Solicit new business.تكميلية0.5
Study industrial processes to maximize the efficiency of equipment applications, including equipment placement.تكميلية0.5

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: 17-2141.00 Mechanical Engineers

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.

الإسناد والتراخيص كاملة