O*NET-SOC कोड
35-3023.00

Perform duties such as taking orders and serving food and beverages. Serve customers at counter or from a steam table. May take payment. May prepare food and beverages.

पेशों के नाम और कार्य-विवरण प्रकाशित रूप में अंग्रेज़ी में दिखाए जाते हैं। लेबल, जिनमें कार्य-प्रकार भी शामिल हैं, अनूदित हैं।

AI एक्सपोजर

  • डेटा स्रोत: BLSप्रकाशन: 2026-08

    मध्यम· सापेक्ष

    कमचार सापेक्ष श्रेणियाँबहुत उच्च

    व्यवसाय-समूह स्तर का मान

    मापक्रम, आधार और स्रोत

    चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)

    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

    स्रोत डेटासेट (XLSX फ़ाइल डाउनलोड)

  • डेटा स्रोत: Anthropicप्रकाशन: 2026-03

    0.000

    0.000यहाँ दिए गए मानों की सीमा0.745

    व्यवसाय-समूह स्तर का मान

    मापक्रम, आधार और स्रोत

    प्रेक्षित एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1

    O*NET कार्यों पर मैप किया गया

    SOC 2018 व्यवसाय के स्तर पर प्रकाशित; समान SOC 2018 कोड वाले हर O*NET व्यवसाय को यही मान मिलता है

    स्रोत डेटासेट (CSV फ़ाइल डाउनलोड)

  • डेटा स्रोत: ILOप्रकाशन: 2025

    0.24

    0.09यहाँ दिए गए मानों की सीमा0.70

    व्यवसाय-समूह स्तर का मान

    मापक्रम, आधार और स्रोत

    जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1

    ISCO-08 इकाई समूह के स्तर पर प्रकाशित मान। अमेरिकी श्रम सांख्यिकी ब्यूरो (BLS) की आधिकारिक क्रॉसवॉक तालिकाओं (ISCO-08 से 2010 SOC, 2010 SOC से 2018 SOC) को प्रकाशित रूप में लागू करके इस व्यवसाय से जोड़ा गया है; यह मिलान पूर्ण या आंशिक है

    स्रोत डेटासेट (PDF फ़ाइल डाउनलोड)

यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है

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।

AI एक्सपोज़र (OpenAI रूब्रिक)

28 मूल्यांकित कार्य · β ≥ 0.5 वाले 4 कार्य (14.3%)

β = प्रत्यक्ष एक्सपोजर (E1) + 0.5 × उपकरण उपलब्ध होने पर एक्सपोजर (E2), स्रोत रिपॉजिटरी की परिभाषा के अनुसार।

  • स्रोत इकाई: O*NET 27.2 के कार्य → O*NET 31.0 का पेशा कोड
  • 1 मूल्यांकित कार्य O*NET 31.0 की कार्य-सूची में नहीं है; उसका स्कोर O*NET 27.2 के लिए प्रकाशित रूप में रखा गया है।
स्रोत
OpenAI "GPTs are GPTs" exposure rubric
संस्करण
gh-main-0471612
लाइसेंस
MIT License, Copyright (c) 2024 OpenAI

कार्य

O*NET® 31.0 Database के कार्य-विवरण, मुख्य कार्य पहले।

कार्यप्रकारβ (OpenAI)
Communicate with customers regarding orders, comments, and complaints.मुख्य0
Accept payment from customers, and make change as necessary.मुख्य0
Scrub and polish counters, steam tables, and other equipment, and clean glasses, dishes, and fountain equipment.मुख्य0
Perform cleaning duties, such as sweeping, mopping, and washing dishes, to keep equipment and facilities sanitary.मुख्य0
Balance receipts and payments in cash registers.मुख्य0
Request and record customer orders, and compute bills, using cash registers, multi-counting machines, or pencil and paper.मुख्य0.5
Serve food, beverages, or desserts to customers in such settings as take-out counters of restaurants or lunchrooms, business or industrial establishments, hotel rooms, and cars.मुख्य0
Prepare daily food items, and cook simple foods and beverages, such as sandwiches, salads, soups, pizza, or coffee, using proper safety precautions and sanitary measures.मुख्य0
Clean and organize eating, service, and kitchen areas.मुख्य0
Monitor and order supplies or food items, and restock as necessary to maintain inventory.मुख्य0
Brew coffee and tea, and fill containers with requested beverages.मुख्य0
Serve customers in eating places that specialize in fast service and inexpensive carry-out food.मुख्य0
Collect and return dirty dishes to the kitchen for washing.मुख्य0
Wrap menu items such as sandwiches, hot entrees, and desserts for serving or for takeout.मुख्य0
Prepare and serve cold drinks, frozen milk drinks, or desserts, using drink-dispensing, milkshake, or frozen-custard machines.मुख्य0
Set up dining areas for meals, and clear them following meals.मुख्य0
Deliver orders to kitchens, and pick up and serve food when it is ready.मुख्य0
Wash dishes, glassware, and silverware after meals.पूरक0
Notify kitchen personnel of shortages or special orders.पूरक0
Select food items from serving or storage areas and place them in dishes, on serving trays, or in take-out bags.पूरक0
Replenish foods at serving stations.पूरक0
Perform personnel activities, such as supervising and training employees.पूरक0
Take customers' orders and write ordered items on tickets, giving ticket stubs to customers when needed to identify filled orders.पूरक1
Distribute food to servers.पूरक0
Add relishes and garnishes to food orders, according to instructions.पूरक0
Arrange tables and decorations according to instructions.पूरक0
Plan, prepare, and deliver meals to individuals with special dietary needs.पूरक0.5

व्यावसायिक जानकारी

स्रोत और श्रेय

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: 35-3023.00 Fast Food and Counter 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.

पूर्ण श्रेय और लाइसेंस