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2. Virtual assistant (occupation) - Wikipedia

   en.wikipedia.org/wiki/Virtual_assistant_(occupation)

   A virtual assistant (typically abbreviated to VA, also called a virtual office assistant) [ 1] is generally self-employed and provides professional administrative, technical, or creative (social) assistance to clients remotely from a home office. [ 2] Because virtual assistants are independent contractors rather than employees, clients are not ...

3. Remote work - Wikipedia

   en.wikipedia.org/wiki/Remote_work

   The United States Marine Corps began allowing remote work in 2010. Remote work (also called telecommuting, telework, work from home —or WFH as an initialism, hybrid work, and other terms) is the practice of working from one's home or another space rather than from an office .

4. Remote job entry - Wikipedia

   en.wikipedia.org/wiki/Remote_Job_Entry

   Remote job entry. Remote job entry, or Remote Batch, is the procedure for sending requests for non-interactive data processing tasks ( jobs) to mainframe computers from remote workstations, and by extension the process of receiving the output from such jobs at a remote workstation. The RJE workstation is called a remote because it usually is ...

5. Get 24x7 Live Tech Support for Any Device | AOL

   www.aol.com/products/tech-support

   Get support day or night for your AOL account, security software or just about any device you own. 24x7 support for your AOL account issues plus security products. Learn more. Unlimited tech ...

6. AOL Live Support Plus - AOL Help

   help.aol.com/products/live-support-plus

   Learn more about AOL Live Support Plus, the plan designed to get you expert help with all AOL needs - from email to installation, logging in, technical questions, mobile email, and more. Plus, you’ll get essential online security products. AOL Live Support Plus · Oct 28, 2023

7. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.