Mail Clerks and Mail Machine Operators, Except Postal Service

Office and Administrative Support Occupations
رمز O*NET-SOC
43-9051.00

Prepare incoming and outgoing mail for distribution. Time-stamp, open, read, sort, and route incoming mail; and address, seal, stamp, fold, stuff, and affix postage to outgoing mail or packages. Duties may also include keeping necessary records and completed forms.

تُعرض أسماء المهن وأوصاف المهام بالإنجليزية كما نُشرت. أما التسميات، ومنها أنواع المهام، فمترجمة.

التعرّض للذكاء الاصطناعي

  • مصدر البيانات: BLSتاريخ النشر: 2026-08

    متوسط· نسبي

    منخفضأربع فئات نسبيةمرتفع جدًا

    قيمة 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

    مجموعة البيانات المصدر (تنزيل ملف XLSX)

  • مصدر البيانات: Anthropicتاريخ النشر: 2026-03

    0.000

    0.000نطاق القيم المعروضة هنا0.745
    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

    مجموعة البيانات المصدر (تنزيل ملف CSV)

  • مصدر البيانات: ILOتاريخ النشر: 2025

    0.41

    0.09نطاق القيم المعروضة هنا0.70

    قيمة 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

    مجموعة البيانات المصدر (تنزيل ملف PDF)

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)

29 مهمة مقيَّمة · 10 مهمة بقيمة β ≥ 0.5 (34.5%)

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.

المهمةالنوعβ (OpenAI)
Seal or open envelopes, by hand or by using machines.أساسية0
Affix postage to packages or letters by hand, or stamp materials, using postage meters.أساسية0
Verify that items are addressed correctly, marked with the proper postage, and in suitable condition for processing.أساسية0.5
Place incoming or outgoing letters or packages into sacks or bins based on destination or type, and place identifying tags on sacks or bins.أساسية0
Clear jams in sortation equipment.أساسية0
Sort and route incoming mail, and collect outgoing mail, using carts as necessary.أساسية0
Weigh packages or letters to determine postage needed, using weighing scales and rate charts.أساسية0.5
Determine manner in which mail is to be sent, and prepare it for delivery to mailing facilities.أساسية0.5
Lift and unload containers of mail or parcels onto equipment for transportation to sortation stations.أساسية0
Fold letters or circulars and insert them in envelopes.أساسية0
Add ink, fill paste reservoirs, and change machine ribbons when necessary.أساسية0
Inspect mail machine output for defects and determine how to eliminate causes of any defects.أساسية0
Remove containers of sorted mail or parcels and transfer them to designated areas according to established procedures.أساسية0
Contact delivery or courier services to arrange delivery of letters and parcels.أساسية0.5
Accept and check containers of mail or parcels from large volume mailers, couriers, and contractors.أساسية0
Release packages or letters to customers upon presentation of written notices or other identification.أساسية0
Answer inquiries regarding shipping or mailing policies.أساسية1
Wrap packages or bundles by hand, or by using tying machines.تكميلية0
Remove from machines printed materials, such as labeled articles, postmarked envelopes or tape, and folded sheets.تكميلية0
Start machines that automatically feed plates, stencils, or tapes through mechanisms, and observe machine operations to detect any malfunctions.تكميلية0
Read production orders to determine types and sizes of items scheduled for printing and mailing.تكميلية1
Mail merchandise samples or promotional literature in response to requests.تكميلية0.5
Insert material for printing or addressing into loading racks on machines, select type or die sizes, and position plates, stencils, or tapes in machine magazines.تكميلية0
Stamp dates and times of receipt of incoming mail.تكميلية1
Operate computer-controlled keyboards or voice recognition equipment to direct items according to established routing schemes.تكميلية1
Adjust guides, rollers, loose card inserters, weighing machines, and tying arms, using rules and hand tools.تكميلية0
Use equipment, such as forklifts and automated "trains," to move containers of mail.تكميلية0
Sell mail products, and accept payment for products and mailing charges.تكميلية0.5
Operate embossing machines or typewriters to make corrections, additions, and changes to address plates.تكميلية0

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: 43-9051.00 Mail Clerks and Mail Machine Operators, Except Postal Service

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.

الإسناد والتراخيص كاملة