Inspectors, Testers, Sorters, Samplers, and Weighers

Production Occupations
O*NET-SOC-Code
51-9061.00

Inspect, test, sort, sample, or weigh nonagricultural raw materials or processed, machined, fabricated, or assembled parts or products for defects, wear, and deviations from specifications. May use precision measuring instruments and complex test equipment.

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

    0.032

    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

    0.31

    0.09Spannweite der hier geführten Werte0.70

    Wert auf Berufsgruppenebene

    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.

KI-Exposition (OpenAI-Rubrik)

32 bewertete Aufgaben · 18 Aufgaben mit β ≥ 0,5 (56.3%)

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
  • 1 bewertete Aufgabe steht nicht in der Aufgabenliste von O*NET 31.0; ihr Wert bleibt wie für O*NET 27.2 veröffentlicht.
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)
Discard or reject products, materials, or equipment not meeting specifications.Kern0
Inspect, test, or measure materials, products, installations, or work for conformance to specifications.Kern0,5
Record inspection or test data, such as weights, temperatures, grades, or moisture content, and quantities inspected or graded.Kern1
Mark items with details, such as grade or acceptance-rejection status.Kern1
Measure dimensions of products to verify conformance to specifications, using measuring instruments, such as rulers, calipers, gauges, or micrometers.Kern0
Collect or select samples for testing or for use as models.Kern0
Write test or inspection reports describing results, recommendations, or needed repairs.Kern1
Read dials or meters to verify that equipment is functioning at specified levels.Kern0,5
Remove defects, such as chips, burrs, or lap corroded or pitted surfaces.Kern0
Make minor adjustments to equipment, such as turning setscrews to calibrate instruments to required tolerances.Kern0
Read blueprints, data, manuals, or other materials to determine specifications, inspection and testing procedures, adjustment methods, certification processes, formulas, or measuring instruments required.Kern1
Notify supervisors or other personnel of production problems.Kern1
Recommend necessary corrective actions, based on inspection results.Kern0,5
Position products, components, or parts for testing.Kern0
Stack or arrange tested products for further processing, shipping, or packaging.Kern0
Monitor production operations or equipment to ensure conformance to specifications, making necessary process or assembly adjustments.Kern0,5
Analyze test data, making computations as necessary, to determine test results.Ergänzend1
Compare colors, shapes, textures, or grades of products or materials with color charts, templates, or samples to verify conformance to standards.Ergänzend0,5
Adjust, clean, or repair products or processing equipment to correct defects found during inspections.Ergänzend0
Fabricate, install, position, or connect components, parts, finished products, or instruments for testing or operational purposes.Ergänzend0
Grade, classify, or sort products according to sizes, weights, colors, or other specifications.Ergänzend0,5
Interpret legal requirements, provide safety information, or recommend compliance procedures to contractors, craft workers, engineers, or property owners.Ergänzend0,5
Inspect or test raw materials, parts, or products to determine compliance with environmental standards.Ergänzend0
Clean, maintain, calibrate, or repair measuring instruments or test equipment, such as dial indicators, fixed gauges, or height gauges.Ergänzend0
Check arriving materials to ensure that they match purchase orders, submitting discrepancy reports as necessary.Ergänzend0,5
Compute defect percentages or averages, using formulas and calculators.Ergänzend1
Monitor machines that automatically measure, sort, or inspect products.Ergänzend0,5
Compute usable amounts of items in shipments.Ergänzend1
Weigh materials, products, containers, or samples to verify packaging weights or ingredient quantities.Ergänzend0
Disassemble defective parts or components, such as inaccurate or worn gauges or measuring instruments.Ergänzend0
Administer tests to assess whether engineers or operators are qualified to use equipment.Ergänzend0,5

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: 51-9061.00 Inspectors, Testers, Sorters, Samplers, and Weighers

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