BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 92% इस मान के बराबर या उससे अधिक हैं।
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Test fabrics in inconspicuous places to determine whether solvents will damage dyes or fabrics.Details
51-6011
0.0029100.0
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
Task
βE1 + 0.5 × E2
Determine spotting procedures and proper solvents, based on fabric and stain types.Details
O*NET Task ID 12127
1.0
Inspect soiled articles to determine sources of stains, to locate color imperfections, and to identify items requiring special treatment.Details
O*NET Task ID 12126
0.5
Match sample colors, applying knowledge of bleaching agent and dye properties, and types, construction, conditions, and colors of articles.Details
O*NET Task ID 12138
0.5
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
व्यावसायिक जानकारी
आईएलओ व्यावसायिक विवरण
Laundry Machine Operators
धुलाई मशीन संचालक
स्वयं अनूदित
स्वयं अनूदित — यह आधिकारिक ISCO शब्दावली नहीं है (ILO द्वारा समीक्षित नहीं)।
Laundry machine operators operate laundry, dry cleaning, pressing and fabric treatment machines in laundries and dry-cleaning establishments.
कार्य
(a) sorting articles for cleaning according to the type, colour, fabric and cleaning treatment required;
(b) placing sorted articles into receptacles and onto conveyor belts for moving to repair and cleaning areas;
(c) checking and removing stains from garments, replacing buttons and making minor repairs;
(d) loading and unloading washing machines, driers and extractors;
(e) adding cleaning agents and starches to articles;
(f) smoothing articles and guiding them through cleaning and pressing machines;
(g) stopping and starting machines to untangle, straighten and remove articles;
(h) placing articles on shelves and hanging articles for delivery and collection;
(i) packaging articles and preparing orders for despatch.
Laundry workers operate and monitor machines that use chemicals to wash or dry-clean articles such as cloth and leather garments, linens, drapes or carpets, ensuring the color and texture of these articles is being maintained. They work in laundry shops and industrial laundry companies and sort the articles received from clients by fabric type. They also determine the cleaning technique to be applied.
laundry ironerESCO 8157.1.1
Laundry ironers re-shape clothing items and linen and remove creases from them by using irons, presses and steamers. They clean and maintain the ironing and drying area and organise the items accordingly.
laundry workers supervisorESCO 8157.2
Laundry workers supervisors monitor and coordinate the activities of the laundry and dry-cleaning staff of laundry shops and industrial laundry companies. They plan and implement production schedules, hire and train workers and monitor the production quality levels.
स्रोत:European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
ESCO reuse terms and the modification notice are in Credits.
Shown in the original Korean. This dataset is published under KOGL Type 4, which prohibits derivative works including translation, so the text is reproduced unaltered.
시력(86) · 정교한 동작(66) · 품질관리분석(60) · 반응시간과 속도(52) · 장비 선정(45)
Knowledge
디자인(87) · 상품 제조 및 공정(74) · 식품생산(67) · 철학과 신학(62) · 영업과 마케팅(58)
Work environment
경미한 화상, 자상, 찔림 등 노출(95) · 몸을 구부리거나 비틀기(90) · 사물, 도구, 조종 장치를 다루기 위해 손사용(89) · 온몸 진동 노출(80) · 앉아서 근무(74)
Related occupations
신발 제조기계 조작원 · 세탁 기계 조작원
The KNOW occupations and KECO codes listed here were linked to this page's occupation by this site; this is not a correspondence defined by the Korea Employment Information Service or the Ministry of Employment and Labor.
Projected change: +4.3%
Median wage: $35K
lowest $31Kmedian wage across 825 detailed occupations, BLS EP 2025–35highest $559K
Employment: 205K
Typical entry-level education: No formal educational credential
