Chemical Plant and System Operators

Production Occupations
Código O*NET-SOC
51-8091.00

Control or operate entire chemical processes or system of machines.

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

    Bajo· relativa

    BajoCuatro bandas relativasMuy alto

    Valor 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

    Conjunto de datos de origen (descarga XLSX)

  • Fuente de datos: AnthropicPublicado: 2026-03

    0.000

    0.000Rango de los valores aquí recogidos0.745
    Escala, 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

    Conjunto de datos de origen (descarga CSV)

  • Fuente de datos: ILOPublicado: 2025

    0.29

    0.09Rango de los valores aquí recogidos0.70

    Valor por grupo ocupacional

    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)

    Conjunto de datos de origen (descarga PDF)

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.

Exposición a la IA (rúbrica de OpenAI)

19 tareas evaluadas · 5 tareas con β ≥ 0,5 (26.3%)

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.

TareaTipoβ (OpenAI)
Move control settings to make necessary adjustments on equipment units affecting speeds of chemical reactions, quality, or yields.Principal0
Monitor recording instruments, flowmeters, panel lights, or other indicators and listen for warning signals to verify conformity of process conditions.Principal0
Control or operate chemical processes or systems of machines, using panelboards, control boards, or semi-automatic equipment.Principal0
Record operating data, such as process conditions, test results, or instrument readings.Principal0,5
Confer with technical and supervisory personnel to report or resolve conditions affecting safety, efficiency, or product quality.Principal0,5
Draw samples of products and conduct quality control tests to monitor processing and to ensure that standards are met.Principal0,5
Regulate or shut down equipment during emergency situations, as directed by supervisory personnel.Principal0
Start pumps to wash and rinse reactor vessels, to exhaust gases or vapors, to regulate the flow of oil, steam, air, or perfume to towers, or to add products to converter or blending vessels.Principal0
Interpret chemical reactions visible through sight glasses or on television monitors and review laboratory test reports for process adjustments.Principal0,5
Patrol work areas to ensure that solutions in tanks or troughs are not in danger of overflowing.Principal0
Notify maintenance, stationary engineering, or other auxiliary personnel to correct equipment malfunctions or to adjust power, steam, water, or air supplies.Principal0
Inspect operating units, such as towers, soap-spray storage tanks, scrubbers, collectors, or driers to ensure that all are functioning and to maintain maximum efficiency.Principal0
Direct workers engaged in operating machinery that regulates the flow of materials and products.Principal0
Turn valves to regulate flow of products or byproducts through agitator tanks, storage drums, or neutralizer tanks.Principal0
Calculate material requirements or yields according to formulas.Principal1
Gauge tank levels, using calibrated rods.Principal0
Repair or replace damaged equipment.Principal0
Defrost frozen valves, using steam hoses.Principal0
Supervise the cleaning of towers, strainers, or spray tips.Principal0

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: 51-8091.00 Chemical Plant and System Operators

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.

Atribución y licencias completas