Laundry and Dry-Cleaning Workers

Production Occupations
رمز O*NET-SOC
51-6011.00

Operate or tend washing or dry-cleaning machines to wash or dry-clean industrial or household articles, such as cloth garments, suede, leather, furs, blankets, draperies, linens, rugs, and carpets. Includes spotters and dyers of these articles.

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 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

    0.000

    0.000نطاق القيم المعروضة هنا0.745
    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

    0.16

    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)

32 مهمة مقيَّمة · 3 مهمة بقيمة β ≥ 0.5 (9.4%)

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)
Start washers, dry cleaners, driers, or extractors, and turn valves or levers to regulate machine processes and the volume of soap, detergent, water, bleach, starch, and other additives.أساسية0
Sort and count articles removed from dryers, and fold, wrap, or hang them.أساسية0
Examine and sort into lots articles to be cleaned, according to color, fabric, dirt content, and cleaning technique required.أساسية0
Load articles into washers or dry-cleaning machines, or direct other workers to perform loading.أساسية0
Clean machine filters, and lubricate equipment.أساسية0
Remove items from washers or dry-cleaning machines, or direct other workers to do so.أساسية0
Operate extractors and driers, or direct their operation.أساسية0
Inspect soiled articles to determine sources of stains, to locate color imperfections, and to identify items requiring special treatment.أساسية0.5
Determine spotting procedures and proper solvents, based on fabric and stain types.أساسية1
Sprinkle chemical solvents over stains, and pat areas with brushes or sponges to remove stains.أساسية0
Receive and mark articles for laundry or dry cleaning with identifying code numbers or names, using hand or machine markers.تكميلية0
Mix and add detergents, dyes, bleaches, starches, and other solutions and chemicals to clean, color, dry, or stiffen articles.تكميلية0
Spray steam, water, or air over spots to flush out chemicals, dry material, raise naps, or brighten colors.تكميلية0
Operate dry-cleaning machines to clean soiled articles.تكميلية0
Test fabrics in inconspicuous places to determine whether solvents will damage dyes or fabrics.تكميلية0
Pre-soak, sterilize, scrub, spot-clean, and dry contaminated or stained articles, using neutralizer solutions and portable machines.تكميلية0
Start pumps to operate distilling systems that drain and reclaim dry cleaning solvents.تكميلية0
Operate machines that comb, dry and polish furs, clean, sterilize and fluff feathers and blankets, or roll and package towels.تكميلية0
Spread soiled articles on work tables, and position stained portions over vacuum heads or on marble slabs.تكميلية0
Apply bleaching powders to spots and spray them with steam to remove stains from fabrics that do not respond to other cleaning solvents.تكميلية0
Mix bleaching agents with hot water in vats, and soak material until it is bleached.تكميلية0
Match sample colors, applying knowledge of bleaching agent and dye properties, and types, construction, conditions, and colors of articles.تكميلية0.5
Apply chemicals to neutralize the effects of solvents.تكميلية0
Identify articles' fabrics and original dyes by sight and touch, or by testing samples with fire or chemical reagents.تكميلية0
Dye articles to change or restore their colors, using knowledge of textile compositions and the properties and effects of bleaches and dyes.تكميلية0
Iron or press articles, fabrics, and furs, using hand irons or pressing machines.تكميلية0
Hang curtains, drapes, blankets, pants, and other garments on stretch frames to dry.تكميلية0
Wash, dry-clean, or glaze delicate articles or fur garment linings by hand, using mild detergents or dry cleaning solutions.تكميلية0
Rinse articles in water and acetic acid solutions to remove excess dye and to fix colors.تكميلية0
Mend and sew articles, using hand stitching, adhesive patches, or sewing machines.تكميلية0
Immerse articles in bleaching baths to strip colors.تكميلية0
Clean fabrics, using vacuums or air hoses.تكميلية0

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: 51-6011.00 Laundry and Dry-Cleaning Workers

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