Food Batchmakers

Production Occupations
O*NET-SOC-Code
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.

Berufsbezeichnungen und Aufgabenbeschreibungen werden wie veröffentlicht auf Englisch angezeigt. Beschriftungen, einschließlich der Aufgabenarten, sind übersetzt.

KI-Exposition

  • Datenquelle: BLSVeröffentlicht: 2026-08

    Mittel· relativ

    NiedrigVier relative BänderSehr hoch

    Wert auf Berufsgruppenebene

    Skala, Bezugsmenge und Quelle

    Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)

    831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band

    Quelldatensatz (XLSX-Download)

  • Datenquelle: AnthropicVeröffentlicht: 2026-03

    0.000

    0.000Spannweite der hier geführten Werte0.745
    Skala, Bezugsmenge und Quelle

    Index der beobachteten Exposition, 0–1 wie veröffentlicht

    Auf O*NET-Aufgaben abgebildet

    Veröffentlicht je SOC-2018-Beruf; jeder O*NET-Beruf mit demselben SOC-2018-Code erhält diesen Wert

    Quelldatensatz (CSV-Download)

  • Datenquelle: ILOVeröffentlicht: 2025

    0.15–0.22· 2 ISCO-08-Gruppen

    Skala, Bezugsmenge und Quelle

    Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht

    Veröffentlicht je ISCO-08-Berufsgattung. Mit diesem Beruf ganz oder teilweise verknüpft durch Anwendung der Umsteigeschlüssel des U.S. Bureau of Labor Statistics (ISCO-08 zu SOC 2010, SOC 2010 zu SOC 2018) in veröffentlichter Form

    Quelldatensatz (PDF-Download)

Welche Art von Wert diese Quelle veröffentlicht

Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.

ILO-Wert je verknüpfter ISCO-08-Gruppe
  • ISCO-08 7513Dairy Products Makers0.22
  • ISCO-08 8160Food and Related Products Machine Operators0.15

KI-Exposition (OpenAI-Rubrik)

25 bewertete Aufgaben · 3 Aufgaben mit β ≥ 0,5 (12.0%)

β = direkte Exposition (E1) + 0,5 × Exposition bei verfügbaren Werkzeugen (E2), gemäß der Definition des Quell-Repositorys.

  • Quelleinheit: Aufgaben aus O*NET 27.2 → Berufscode aus O*NET 31.0
  • Alle bewerteten Aufgaben stehen in der Aufgabenliste von O*NET 31.0.
Quelle
OpenAI "GPTs are GPTs" exposure rubric
Ausgabe
gh-main-0471612
Lizenz
MIT License, Copyright (c) 2024 OpenAI

Aufgaben

Aufgabenbeschreibungen aus der O*NET® 31.0 Database, Kernaufgaben zuerst.

AufgabeArtβ (OpenAI)
Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle.Kern1
Observe gauges and thermometers to determine if the mixing chamber temperature is within specified limits, and turn valves to control the temperature.Kern0
Clean and sterilize vats and factory processing areas.Kern0
Press switches and turn knobs to start, adjust, and regulate equipment, such as beaters, extruders, discharge pipes, and salt pumps.Kern0
Observe and listen to equipment to detect possible malfunctions, such as leaks or plugging, and report malfunctions or undesirable tastes to supervisors.Kern0
Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes.Kern0
Mix or blend ingredients, according to recipes, using a paddle or an agitator, or by controlling vats that heat and mix ingredients.Kern0
Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color.Kern0
Select and measure or weigh ingredients, using English or metric measures and balance scales.Kern0
Turn valve controls to start equipment and to adjust operation to maintain product quality.Kern0
Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients.Kern1
Give directions to other workers who are assisting in the batchmaking process.Kern0
Examine, feel, and taste product samples during production to evaluate quality, color, texture, flavor, and bouquet, and document the results.Kern0
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.Kern0
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.Ergänzend0
Homogenize or pasteurize material to prevent separation or to obtain prescribed butterfat content, using a homogenizing device.Ergänzend0
Inspect vats after cleaning to ensure that fermentable residue has been removed.Ergänzend0
Test food product samples for moisture content, acidity level, specific gravity, or butter-fat content, and continue processing until desired levels are reached.Ergänzend0
Formulate or modify recipes for specific kinds of food products.Ergänzend0,5
Inspect and pack the final product.Ergänzend0
Grade food products according to government regulations or according to type, color, bouquet, and moisture content.Ergänzend0
Cool food product batches on slabs or in water-cooled kettles.Ergänzend0
Operate refining machines to reduce the particle size of cooked batches.Ergänzend0
Place products on carts or conveyors to transfer them to the next stage of processing.Ergänzend0
Manipulate products, by hand or using machines, to separate, spread, knead, spin, cast, cut, pull, or roll products.Ergänzend0

Berufsinformationen

Quellen und Namensnennung

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.

Vollständige Namensnennung und Lizenzen