Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products
Sales and Related Occupations- رمز O*NET-SOC
- 41-4011.00
Sell goods for wholesalers or manufacturers where technical or scientific knowledge is required in such areas as biology, engineering, chemistry, and electronics, normally obtained from at least 2 years of postsecondary education.
تُعرض أسماء المهن وأوصاف المهام بالإنجليزية كما نُشرت. أما التسميات، ومنها أنواع المهام، فمترجمة.
التعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
مرتفع جدًا· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)
831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.271
0.000نطاق القيم المعروضة هنا0.745قيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
مؤشر التعرّض المرصود، 0–1 كما نُشر
مربوط بمهام O*NET
منشورة لكل مهنة في SOC 2018؛ وكل مهنة في O*NET تحمل رمز SOC 2018 نفسه تأخذ هذه القيمة
- مصدر البيانات: ILOتاريخ النشر: 2025
0.49–0.51· 3 مجموعات ISCO-08
المقياس والأساس والمصدر
مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر
قيمة منشورة على مستوى مجموعة الوحدة في ISCO-08. رُبطت بهذه المهنة بتطبيق جداول التناظر الرسمية لمكتب إحصاءات العمل الأمريكي (BLS) (من ISCO-08 إلى SOC 2010، ومن SOC 2010 إلى SOC 2018) كما نُشرت، والتناظر كلي أو جزئي
ما نوع القيمة التي ينشرها هذا المصدر
فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.
قيمة ILO لكل مجموعة ISCO-08 مرتبطة
- ISCO-08 2433Technical and Medical Sales Professionals (excluding ICT)0.50
- ISCO-08 2434Information and Communications Technology Sales Professionals0.51
- ISCO-08 3322Commercial Sales Representatives0.49
التعرض للذكاء الاصطناعي (معيار OpenAI)
36 مهمة مقيَّمة · 33 مهمة بقيمة β ≥ 0.5 (91.7%)
β = التعرّض المباشر (E1) + 0.5 × التعرّض عند توفر الأدوات (E2)، وفق تعريف المستودع المصدري.
- وحدة المصدر: مهام O*NET 27.2 ← رمز المهنة في O*NET 31.0
- عدد المهام المقيَّمة غير الموجودة في قائمة مهام O*NET 31.0: 3؛ وتبقى درجاتها كما نُشرت وفق O*NET 27.2.
- المصدر
- OpenAI "GPTs are GPTs" exposure rubric
- الإصدار
- gh-main-0471612
- الترخيص
- MIT License, Copyright (c) 2024 OpenAI
المهام
أوصاف المهام من O*NET® 31.0 Database، والمهام الأساسية أولًا.
| المهمة | النوع | β (OpenAI) |
|---|---|---|
| Answer customers' questions about products, prices, availability, or credit terms. | أساسية | 0.5 |
| Quote prices, credit terms, or other bid specifications. | أساسية | 1 |
| Emphasize product features, based on analyses of customers' needs and on technical knowledge of product capabilities and limitations. | أساسية | 0.5 |
| Negotiate prices or terms of sales or service agreements. | أساسية | 0.5 |
| Maintain customer records, using automated systems. | أساسية | 1 |
| Collaborate with colleagues to exchange information, such as selling strategies or marketing information. | أساسية | 0.5 |
| Prepare sales presentations or proposals to explain product specifications or applications. | أساسية | 0.5 |
| Provide customers with ongoing technical support. | أساسية | 0.5 |
| Inform customers of estimated delivery schedules, service contracts, warranties, or other information pertaining to purchased products. | أساسية | 0.5 |
| Visit establishments to evaluate needs or to promote product or service sales. | أساسية | 0 |
| Complete expense reports, sales reports, or other paperwork. | أساسية | 1 |
| Compute customer's installation or production costs and estimate savings from new services, products, or equipment. | أساسية | 0.5 |
| Stock or distribute resources, such as samples or promotional or educational materials. | أساسية | 0 |
| Prepare and submit sales contracts for orders. | أساسية | 1 |
| Contact new or existing customers to discuss how specific products or services can meet their needs. | أساسية | 0.5 |
| Select or assist customers in selecting products based on customer needs, product specifications, and applicable regulations. | أساسية | 0.5 |
| Verify that delivery schedules meet project deadlines. | أساسية | 0.5 |
| Identify prospective customers, using business directories, leads from existing clients, participation in organizations, or trade show or conference attendance. | أساسية | 0.5 |
| Advise customers on product usage to improve production. | أساسية | 0.5 |
| Study documentation or other information for new scientific or technical products. | أساسية | 0.5 |
| Attend sales or trade meetings or read related publications to obtain information about market conditions, business trends, environmental regulations, or industry developments. | أساسية | 0.5 |
| Provide feedback to product design teams so that products can be tailored to clients' needs. | تكميلية | 0.5 |
| Arrange for installation and testing of products or machinery. | تكميلية | 0.5 |
| Consult with engineers regarding technical problems with products. | تكميلية | 0.5 |
| Visit establishments, such as pharmacies, to determine product sales. | تكميلية | 0.5 |
| Inform customers about issues related to responsible use and disposal of products, such as waste reduction or product or byproduct recycling or disposal. | تكميلية | 0.5 |
| Present information to customers about the energy efficiency or environmental impact of scientific or technical products. | تكميلية | 0.5 |
| Sell technical and scientific products that are environmentally sound or designed for environmental remediation. | تكميلية | 0.5 |
| Sell service contracts for technical or scientific products. | تكميلية | 0.5 |
| Demonstrate the operation or use of technical or scientific products. | تكميلية | 0 |
| Initiate sales campaigns to meet sales and production expectations. | تكميلية | 0.5 |
| Verify accuracy of materials lists. | تكميلية | 1 |
| Verify customer credit ratings. | تكميلية | 0.5 |
معلومات مهنية
المصادر والإسناد
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: 41-4011.00 Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products
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.