Food Cooking Machine Operators and Tenders
Production Occupations- Código O*NET-SOC
- 51-3093.00
Operate or tend cooking equipment, such as steam cooking vats, deep fry cookers, pressure cookers, kettles, and boilers, to prepare food products.
Os nomes das ocupações e as descrições de tarefas são exibidos em inglês, tal como publicados. As etiquetas, incluindo os tipos de tarefa, estão traduzidas.
Exposição à IA
- Fonte dos dados: BLSPublicado: 2026-08
Baixo· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: AnthropicPublicado: 2026-03
0.000
0.000Intervalo dos valores aqui apresentados0.745Escala, base e fonte
Índice de exposição observada, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
Publicado por ocupação SOC 2018; toda ocupação O*NET com o mesmo código SOC 2018 recebe este valor
- Fonte dos dados: ILOPublicado: 2025
0.15· 2 grupos ISCO-08
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Publicado por grupo de base ISCO-08. Ligado a esta ocupação, total ou parcialmente, aplicando tal como publicadas as tabelas de correspondência do U.S. Bureau of Labor Statistics (ISCO-08 para SOC 2010, SOC 2010 para SOC 2018)
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Valor ILO de cada grupo ISCO-08 ligado
- ISCO-08 7514Fruit, Vegetable and Related Preservers0.15
- ISCO-08 8160Food and Related Products Machine Operators0.15
Exposição à IA (rubrica da OpenAI)
17 tarefas avaliadas · 2 tarefas com β ≥ 0,5 (11.8%)
β = exposição direta (E1) + 0,5 × exposição com ferramentas disponíveis (E2), segundo a definição do repositório de origem.
- Unidade de origem: tarefas do O*NET 27.2 → código de ocupação do O*NET 31.0
- Todas as tarefas pontuadas constam da lista de tarefas do O*NET 31.0.
- Fonte
- OpenAI "GPTs are GPTs" exposure rubric
- Versão
- gh-main-0471612
- Licença
- MIT License, Copyright (c) 2024 OpenAI
Tarefas
Descrições de tarefas da O*NET® 31.0 Database, com as tarefas principais primeiro.
| Tarefa | Tipo | β (OpenAI) |
|---|---|---|
| Record production and test data, such as processing steps, temperature and steam readings, cooking time, batches processed, and test results. | Principal | 1 |
| Listen for malfunction alarms, and shut down equipment and notify supervisors when necessary. | Principal | 0 |
| Collect and examine product samples during production to test them for quality, color, content, consistency, viscosity, acidity, or specific gravity. | Principal | 0 |
| Observe gauges, dials, and product characteristics, and adjust controls to maintain appropriate temperature, pressure, and flow of ingredients. | Principal | 0 |
| Read work orders, recipes, or formulas to determine cooking times and temperatures, and ingredient specifications. | Principal | 1 |
| Clean, wash, and sterilize equipment and cooking area, using water hoses, cleaning or sterilizing solutions, or rinses. | Principal | 0 |
| Set temperature, pressure, and time controls, and start conveyers, machines, or pumps. | Principal | 0 |
| Tend or operate and control equipment, such as kettles, cookers, vats and tanks, and boilers, to cook ingredients or prepare products for further processing. | Principal | 0 |
| Measure or weigh ingredients, using scales or measuring containers. | Principal | 0 |
| Admit required amounts of water, steam, cooking oils, or compressed air into equipment, such as by opening water valves to cool mixtures to the desired consistency. | Principal | 0 |
| Remove cooked material or products from equipment. | Principal | 0 |
| Notify or signal other workers to operate equipment or when processing is complete. | Principal | 0 |
| Turn valves or start pumps to add ingredients or drain products from equipment and to transfer products for storage, cooling, or further processing. | Principal | 0 |
| Pour, dump, or load prescribed quantities of ingredients or products into cooking equipment, manually or using a hoist. | Principal | 0 |
| Place products on conveyors or carts, and monitor product flow. | Complementar | 0 |
| Activate agitators and paddles to mix or stir ingredients, stopping machines when ingredients are thoroughly mixed. | Complementar | 0 |
| Operate auxiliary machines and equipment, such as grinders, canners, and molding presses, to prepare or further process products. | Complementar | 0 |
Informação ocupacional
Fontes e atribuição
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: 51-3093.00 Food Cooking Machine Operators and Tenders
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.