패스트푸드·카운터 종사자

음식 조리·서빙 관련직

Fast Food and Counter Workers

O*NET-SOC 코드
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.

한국어 직업명은 AI Changing Work의 번역입니다. 과업 문장과 원천 값은 공표된 영문 그대로 표시합니다.

AI 노출도

  • 데이터 출처: BLS발행 시점: 2026-08

    보통· 상대

    낮음4단계 상대 범주매우 높음

    직업군 단위 값

    척도 · 모수 · 출처

    4단계 상대 범주 (낮음 / 보통 / 높음 / 매우 높음)

    BLS 고용전망 표의 세부직업 831개 기준. 값은 NEM(전국고용매트릭스) 코드 단위로 부여되므로, 같은 NEM 코드를 쓰는 직업은 같은 밴드를 받습니다

    원천 데이터셋 (XLSX 파일 내려받기)

  • 데이터 출처: Anthropic발행 시점: 2026-03

    0.000

    0.000여기 실린 값의 범위0.745

    직업군 단위 값

    척도 · 모수 · 출처

    관측 노출 지수, 발행된 그대로 0–1

    O*NET 과업 매핑 기준

    SOC 2018 직업 단위로 발행된 값이며, 같은 SOC 2018 코드를 가진 O*NET 직업은 모두 이 값을 받습니다

    원천 데이터셋 (CSV 파일 내려받기)

  • 데이터 출처: ILO발행 시점: 2025

    0.24

    0.09여기 실린 값의 범위0.70

    직업군 단위 값

    척도 · 모수 · 출처

    생성형 AI 노출 지수, 발행된 그대로 0–1

    ISCO-08 직업군 단위로 발행된 값입니다. 미국 노동통계국(BLS)의 공식 교차표(ISCO-08→2010 SOC, 2010 SOC→2018 SOC)를 그대로 적용해 이 직업에 연결했으며, 연결은 전부 또는 일부 대응입니다

    원천 데이터셋 (PDF 파일 내려받기)

이 원천이 어떤 종류의 값인가

BLS 범주는 절대 수준이 아니라 상대 순위이며, 1차 측정도 아닙니다. 여러 선행 연구가 매긴 직업별 백분위 순위를 4단계로 묶은 값입니다. 고용·임금 예측도, 도입 확률도 아니며 자동화와 증강을 구분하지 않습니다.

AI 노출도 (OpenAI 루브릭)

평가 과업 28개 · β ≥ 0.5 인 과업 4개 (14.3%)

β = 직접 노출(E1) + 0.5 × 도구 활용 시 노출(E2). 원본 저장소의 정의를 따릅니다.

  • 원천 단위: O*NET 27.2 과업 → O*NET 31.0 직업 코드
  • 채점된 과업 중 1개는 O*NET 31.0 과업 목록에 없어, O*NET 27.2 기준으로 공표된 점수를 그대로 둡니다.
출처
OpenAI "GPTs are GPTs" exposure rubric
판
gh-main-0471612
라이선스
MIT License, Copyright (c) 2024 OpenAI

과업

O*NET® 31.0 Database의 과업 문장입니다. 핵심(Core) 과업을 먼저 보입니다.

과업유형β (OpenAI)
Communicate with customers regarding orders, comments, and complaints.핵심0
Accept payment from customers, and make change as necessary.핵심0
Scrub and polish counters, steam tables, and other equipment, and clean glasses, dishes, and fountain equipment.핵심0
Perform cleaning duties, such as sweeping, mopping, and washing dishes, to keep equipment and facilities sanitary.핵심0
Balance receipts and payments in cash registers.핵심0
Request and record customer orders, and compute bills, using cash registers, multi-counting machines, or pencil and paper.핵심0.5
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.핵심0
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.핵심0
Clean and organize eating, service, and kitchen areas.핵심0
Monitor and order supplies or food items, and restock as necessary to maintain inventory.핵심0
Brew coffee and tea, and fill containers with requested beverages.핵심0
Serve customers in eating places that specialize in fast service and inexpensive carry-out food.핵심0
Collect and return dirty dishes to the kitchen for washing.핵심0
Wrap menu items such as sandwiches, hot entrees, and desserts for serving or for takeout.핵심0
Prepare and serve cold drinks, frozen milk drinks, or desserts, using drink-dispensing, milkshake, or frozen-custard machines.핵심0
Set up dining areas for meals, and clear them following meals.핵심0
Deliver orders to kitchens, and pick up and serve food when it is ready.핵심0
Wash dishes, glassware, and silverware after meals.보조0
Notify kitchen personnel of shortages or special orders.보조0
Select food items from serving or storage areas and place them in dishes, on serving trays, or in take-out bags.보조0
Replenish foods at serving stations.보조0
Perform personnel activities, such as supervising and training employees.보조0
Take customers' orders and write ordered items on tickets, giving ticket stubs to customers when needed to identify filled orders.보조1
Distribute food to servers.보조0
Add relishes and garnishes to food orders, according to instructions.보조0
Arrange tables and decorations according to instructions.보조0
Plan, prepare, and deliver meals to individuals with special dietary needs.보조0.5

직업 정보

출처와 귀속

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.

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