Code O*NET-SOC
41-9031.00

Sell business goods or services, the selling of which requires a technical background equivalent to a baccalaureate degree in engineering.

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

    Très élevée· relative

    FaibleQuatre bandes relativesTrès élevée

    Valeur 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

    Jeu de données source (téléchargement XLSX)

  • Source des données: AnthropicPublié: 2026-03

    0.322

    0.000Étendue des valeurs présentées ici0.745
    Échelle, 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

    Jeu de données source (téléchargement CSV)

  • Source des données: ILOPublié: 2025

    0.51

    0.09Étendue des valeurs présentées ici0.70

    Valeur 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)

    Jeu de données source (téléchargement PDF)

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)

25 tâches évaluées · 22 tâches avec β ≥ 0,5 (88.0%)

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.

TâcheTypeβ (OpenAI)
Plan and modify product configurations to meet customer needs.Principale0,5
Confer with customers and engineers to assess equipment needs and to determine system requirements.Principale0,5
Collaborate with sales teams to understand customer requirements, to promote the sale of company products, and to provide sales support.Principale0,5
Secure and renew orders and arrange delivery.Principale0,5
Develop, present, or respond to proposals for specific customer requirements, including request for proposal responses and industry-specific solutions.Principale0,5
Recommend improved materials or machinery to customers, documenting how such changes will lower costs or increase production.Principale0,5
Prepare and deliver technical presentations that explain products or services to customers and prospective customers.Principale0,5
Research and identify potential customers for products or services.Principale0,5
Visit prospective buyers at commercial, industrial, or other establishments to show samples or catalogs, and to inform them about product pricing, availability, and advantages.Principale0
Create sales or service contracts for products or services.Principale1
Arrange for demonstrations or trial installations of equipment.Principale0
Keep informed on industry news and trends, products, services, competitors, relevant information about legacy, existing, and emerging technologies, and the latest product-line developments.Principale0,5
Attend company training seminars to become familiar with product lines.Principale1
Develop sales plans to introduce products in new markets.Principale0,5
Identify resale opportunities and support them to achieve sales plans.Principale0,5
Document account activities, generate reports, and keep records of business transactions with customers and suppliers.Principale1
Train team members in the customer applications of technologies.Principale0,5
Maintain sales forecasting reports.Principale0,5
Attend trade shows and seminars to promote products or to learn about industry developments.Principale0
Sell products requiring extensive technical expertise and support for installation and use, such as material handling equipment, numerical-control machinery, or computer systems.Complémentaire0,5
Diagnose problems with installed equipment.Complémentaire0,5
Provide technical and non-technical support and services to clients or other staff members regarding the use, operation, and maintenance of equipment.Complémentaire0,5
Provide information needed for the development of custom-made machinery.Complémentaire0,5
Write technical documentation for products.Complémentaire1
Report to supervisors about prospective firms' credit ratings.Complémentaire0,5

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: 41-9031.00 Sales Engineers

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.

Attribution et licences complètes