Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
Production Occupations- Code O*NET-SOC
- 51-4081.00
Set up, operate, or tend more than one type of cutting or forming machine tool or robot.
Les intitulés des métiers et les énoncés de tâches sont affichés en anglais, tels que publiés. Les libellés, y compris les types de tâches, sont traduits.
Exposition à l'IA
- Source des données: BLSPublié: 2026-08
Modérée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: 2026-03
0.000
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
Indice d'exposition observée, 0–1 tel que publié
Rapporté aux tâches O*NET
Publié par profession SOC 2018 ; chaque profession O*NET ayant le même code SOC 2018 reçoit cette valeur
- Source des données: ILOPublié: 2025
0.18
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Publié par groupe de base ISCO-08. Relié à ce métier, en tout ou en partie, en appliquant tels que publiés les tableaux de correspondance du U.S. Bureau of Labor Statistics (ISCO-08 vers SOC 2010, SOC 2010 vers SOC 2018)
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Exposition à l’IA (grille d’OpenAI)
21 tâches évaluées · 3 tâches avec β ≥ 0,5 (14.3%)
β = exposition directe (E1) + 0,5 × exposition lorsque des outils sont disponibles (E2), selon la définition du dépôt source.
- Unité source : tâches O*NET 27.2 → code de métier O*NET 31.0
- Toutes les tâches notées figurent dans la liste des tâches O*NET 31.0.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Version
- gh-main-0471612
- Licence
- MIT License, Copyright (c) 2024 OpenAI
Tâches
Énoncés de tâches de l’O*NET® 31.0 Database, les tâches principales d’abord.
| Tâche | Type | β (OpenAI) |
|---|---|---|
| Inspect workpieces for defects, and measure workpieces to determine accuracy of machine operation, using rules, templates, or other measuring instruments. | Principale | 0 |
| Observe machine operation to detect workpiece defects or machine malfunctions, adjusting machines as necessary. | Principale | 0 |
| Read blueprints or job orders to determine product specifications and tooling instructions and to plan operational sequences. | Principale | 0,5 |
| Set up and operate machines, such as lathes, cutters, shears, borers, millers, grinders, presses, drills, or auxiliary machines, to make metallic and plastic workpieces. | Principale | 0 |
| Position, adjust, and secure stock material or workpieces against stops, on arbors, or in chucks, fixtures, or automatic feeding mechanisms, manually or using hoists. | Principale | 0 |
| Select, install, and adjust alignment of drills, cutters, dies, guides, and holding devices, using templates, measuring instruments, and hand tools. | Principale | 0 |
| Change worn machine accessories, such as cutting tools or brushes, using hand tools. | Principale | 0 |
| Make minor electrical and mechanical repairs and adjustments to machines and notify supervisors when major service is required. | Principale | 0 |
| Start machines and turn handwheels or valves to engage feeding, cooling, and lubricating mechanisms. | Principale | 0 |
| Perform minor machine maintenance, such as oiling or cleaning machines, dies, or workpieces, or adding coolant to machine reservoirs. | Principale | 0 |
| Select the proper coolants and lubricants and start their flow. | Principale | 0 |
| Remove burrs, sharp edges, rust, or scale from workpieces, using files, hand grinders, wire brushes, or power tools. | Principale | 0 |
| Instruct other workers in machine set-up and operation. | Principale | 0 |
| Record operational data, such as pressure readings, lengths of strokes, feed rates, or speeds. | Principale | 0 |
| Extract or lift jammed pieces from machines, using fingers, wire hooks, or lift bars. | Principale | 0 |
| Set machine stops or guides to specified lengths as indicated by scales, rules, or templates. | Principale | 0 |
| Move controls or mount gears, cams, or templates in machines to set feed rates and cutting speeds, depths, and angles. | Principale | 0 |
| Compute data, such as gear dimensions or machine settings, applying knowledge of shop mathematics. | Principale | 1 |
| Align layout marks with dies or blades. | Complémentaire | 0 |
| Measure and mark reference points and cutting lines on workpieces, using traced templates, compasses, and rules. | Complémentaire | 0 |
| Write programs for computer numerical control (CNC) machines to cut metal and plastic materials. | Complémentaire | 1 |
Informations professionnelles
Sources et attribution
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: 51-4081.00 Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
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