Real Estate Sales Agents
Sales and Related Occupations- رمز O*NET-SOC
- 41-9022.00
Rent, buy, or sell property for clients. Perform duties such as study property listings, interview prospective clients, accompany clients to property site, discuss conditions of sale, and draw up real estate contracts. Includes agents who represent buyer.
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
0.283
0.000نطاق القيم المعروضة هنا0.745المقياس 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
0.35
0.09نطاق القيم المعروضة هنا0.70قيمة على مستوى المجموعة المهنية
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.
التعرض للذكاء الاصطناعي (معيار OpenAI)
33 مهمة مقيَّمة · 29 مهمة بقيمة β ≥ 0.5 (87.9%)
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
- جميع المهام المقيَّمة موجودة في قائمة مهام O*NET 31.0.
- 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) |
|---|---|---|
| Present purchase offers to sellers for consideration. | أساسية | 0.5 |
| Confer with escrow companies, lenders, home inspectors, and pest control operators to ensure that terms and conditions of purchase agreements are met before closing dates. | أساسية | 0.5 |
| Interview clients to determine what kinds of properties they are seeking. | أساسية | 0.5 |
| Prepare documents such as representation contracts, purchase agreements, closing statements, deeds, and leases. | أساسية | 0.5 |
| Coordinate property closings, overseeing signing of documents and disbursement of funds. | أساسية | 0.5 |
| Act as an intermediary in negotiations between buyers and sellers, generally representing one or the other. | أساسية | 0.5 |
| Promote sales of properties through advertisements, open houses, and participation in multiple listing services. | أساسية | 0.5 |
| Compare a property with similar properties that have recently sold to determine its competitive market price. | أساسية | 0.5 |
| Coordinate appointments to show homes to prospective buyers. | أساسية | 0.5 |
| Generate lists of properties that are compatible with buyers' needs and financial resources. | أساسية | 0.5 |
| Display commercial, industrial, agricultural, and residential properties to clients and explain their features. | أساسية | 0 |
| Arrange for title searches to determine whether clients have clear property titles. | أساسية | 0.5 |
| Review plans for new construction with clients, enumerating and recommending available options and features. | أساسية | 0.5 |
| Answer clients' questions regarding construction work, financing, maintenance, repairs, and appraisals. | أساسية | 0.5 |
| Inspect condition of premises, and arrange for necessary maintenance or notify owners of maintenance needs. | أساسية | 0 |
| Accompany buyers during visits to and inspections of property, advising them on the suitability and value of the homes they are visiting. | أساسية | 0 |
| Advise sellers on how to make homes more appealing to potential buyers. | أساسية | 0.5 |
| Advise clients on market conditions, prices, mortgages, legal requirements, and related matters. | أساسية | 0.5 |
| Evaluate mortgage options to help clients obtain financing at the best prevailing rates and terms. | أساسية | 0.5 |
| Review property listings, trade journals, and relevant literature, and attend conventions, seminars, and staff and association meetings, to remain knowledgeable about real estate markets. | أساسية | 0.5 |
| Contact property owners and advertise services to solicit property sales listings. | أساسية | 0.5 |
| Develop networks of attorneys, mortgage lenders, and contractors to whom clients may be referred. | أساسية | 0.5 |
| Contact previous clients for prospecting of referral business. | أساسية | 0.5 |
| Arrange meetings between buyers and sellers when details of transactions need to be negotiated. | تكميلية | 0.5 |
| Investigate clients' financial and credit status to determine eligibility for financing. | تكميلية | 0.5 |
| Visit properties to assess them before showing them to clients. | تكميلية | 0.5 |
| Contact utility companies for service hookups to clients' property. | تكميلية | 0.5 |
| Conduct seminars and training sessions for sales agents to improve sales techniques. | تكميلية | 0 |
| Appraise properties to determine loan values. | تكميلية | 0.5 |
| Solicit and compile listings of available rental properties. | تكميلية | 0.5 |
| Secure construction or purchase financing with own firm or mortgage company. | تكميلية | 0.5 |
| Rent or lease properties on behalf of clients. | تكميلية | 0.5 |
| Locate and appraise undeveloped areas for building sites, based on evaluations of area market conditions. | 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: 41-9022.00 Real Estate Sales Agents
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.