Food Batchmakers
Production Occupations- Código O*NET-SOC
- 51-3092.00
Set up and operate equipment that mixes or blends ingredients used in the manufacturing of food products. Includes candy makers and cheese makers.
Los nombres de las ocupaciones y las descripciones de tareas se muestran en inglés, tal como se publicaron. Las etiquetas, incluidos los tipos de tarea, están traducidas.
Exposición a la IA
- Fuente de datos: BLSPublicado: 2026-08
Moderado· relativa
BajoCuatro bandas relativasMuy altoValor por grupo ocupacional
Escala, base y fuente
Cuatro bandas relativas (Bajo / Moderado / Alto / Muy alto)
831 ocupaciones detalladas de la tabla de proyecciones de empleo de BLS. El valor se asigna por código de la National Employment Matrix (NEM), de modo que las ocupaciones que comparten un código NEM reciben la misma banda
- Fuente de datos: AnthropicPublicado: 2026-03
0.000
0.000Rango de los valores aquí recogidos0.745Escala, base y fuente
Índice de exposición observada, 0–1 tal como se publica
Mapeado sobre tareas de O*NET
Publicado por ocupación SOC 2018; toda ocupación O*NET con el mismo código SOC 2018 recibe este valor
- Fuente de datos: ILOPublicado: 2025
0.15–0.22· 2 grupos ISCO-08
Escala, base y fuente
Índice de exposición a la IA generativa, 0–1 tal como se publica
Publicado por grupo primario ISCO-08. Vinculado a esta ocupación, total o parcialmente, aplicando tal como se publicaron las tablas de correspondencia de la U.S. Bureau of Labor Statistics (ISCO-08 a SOC 2010, SOC 2010 a SOC 2018)
Qué tipo de cifra publica esta fuente
La categoría de BLS es un rango relativo, no un nivel absoluto, y tampoco es una medición de primera mano: agrupa en cuatro bandas los rangos percentiles de la ocupación en varios estudios publicados. No es una previsión de empleo ni de salarios, no es una probabilidad de adopción y no distingue entre automatización y aumento.
Valor ILO de cada grupo ISCO-08 vinculado
- ISCO-08 7513Dairy Products Makers0.22
- ISCO-08 8160Food and Related Products Machine Operators0.15
Exposición a la IA (rúbrica de OpenAI)
25 tareas evaluadas · 3 tareas con β ≥ 0,5 (12.0%)
β = exposición directa (E1) + 0,5 × exposición con herramientas disponibles (E2), según la definición del repositorio de origen.
- Unidad de origen: tareas de O*NET 27.2 → código de ocupación de O*NET 31.0
- Todas las tareas puntuadas figuran en la lista de tareas de O*NET 31.0.
- Fuente
- OpenAI "GPTs are GPTs" exposure rubric
- Versión
- gh-main-0471612
- Licencia
- MIT License, Copyright (c) 2024 OpenAI
Tareas
Descripciones de tareas de la O*NET® 31.0 Database, primero las tareas principales.
| Tarea | Tipo | β (OpenAI) |
|---|---|---|
| Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle. | Principal | 1 |
| Observe gauges and thermometers to determine if the mixing chamber temperature is within specified limits, and turn valves to control the temperature. | Principal | 0 |
| Clean and sterilize vats and factory processing areas. | Principal | 0 |
| Press switches and turn knobs to start, adjust, and regulate equipment, such as beaters, extruders, discharge pipes, and salt pumps. | Principal | 0 |
| Observe and listen to equipment to detect possible malfunctions, such as leaks or plugging, and report malfunctions or undesirable tastes to supervisors. | Principal | 0 |
| Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes. | Principal | 0 |
| Mix or blend ingredients, according to recipes, using a paddle or an agitator, or by controlling vats that heat and mix ingredients. | Principal | 0 |
| Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. | Principal | 0 |
| Select and measure or weigh ingredients, using English or metric measures and balance scales. | Principal | 0 |
| Turn valve controls to start equipment and to adjust operation to maintain product quality. | Principal | 0 |
| Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients. | Principal | 1 |
| Give directions to other workers who are assisting in the batchmaking process. | Principal | 0 |
| Examine, feel, and taste product samples during production to evaluate quality, color, texture, flavor, and bouquet, and document the results. | Principal | 0 |
| Modify cooking and forming operations based on the results of sampling processes, adjusting time cycles and ingredients to achieve desired qualities, such as firmness or texture. | Principal | 0 |
| Fill processing or cooking containers, such as kettles, rotating cookers, pressure cookers, or vats, with ingredients, by opening valves, by starting pumps or injectors, or by hand. | Complementaria | 0 |
| Homogenize or pasteurize material to prevent separation or to obtain prescribed butterfat content, using a homogenizing device. | Complementaria | 0 |
| Inspect vats after cleaning to ensure that fermentable residue has been removed. | Complementaria | 0 |
| Test food product samples for moisture content, acidity level, specific gravity, or butter-fat content, and continue processing until desired levels are reached. | Complementaria | 0 |
| Formulate or modify recipes for specific kinds of food products. | Complementaria | 0,5 |
| Inspect and pack the final product. | Complementaria | 0 |
| Grade food products according to government regulations or according to type, color, bouquet, and moisture content. | Complementaria | 0 |
| Cool food product batches on slabs or in water-cooled kettles. | Complementaria | 0 |
| Operate refining machines to reduce the particle size of cooked batches. | Complementaria | 0 |
| Place products on carts or conveyors to transfer them to the next stage of processing. | Complementaria | 0 |
| Manipulate products, by hand or using machines, to separate, spread, knead, spin, cast, cut, pull, or roll products. | Complementaria | 0 |
Información ocupacional
Fuentes y atribución
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: 51-3092.00 Food Batchmakers
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.