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2. Virtual assistant (occupation) - Wikipedia

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

   Clients pay for 100% productive work and can work with virtual assistants, individually, or in multi-VA firms to meet their exact needs. Virtual assistants usually work for other small businesses [3] but can also support busy executives. It is estimated that there are as few as 5,000 to 10,000 or as many as 25,000 virtual assistants worldwide.

3. How To Become a Virtual Assistant: Your Guide To Start ... - AOL

   www.aol.com/finance/become-virtual-assistant...

   The work virtual assistants do can span everything from calendar management to the entire handling of social media operations. Here are some popular roles virtual assistants do: Customer service

4. 40 Legit Companies That Will Pay You To Work From Home - AOL

   www.aol.com/40-legit-companies-pay-home...

   Amazon has a virtual customer service program that offers full-time work-from-home jobs that provide benefits. Examples of positions available: Software development engineer, senior solutions ...

5. Ask an Expert: Are There Any Legitimate Work From Home Jobs?

   www.aol.com/news/2010-11-01-are-there-any...

   According to Joyce, "there are legitimate work from home jobs, however, job seekers need to do some digging to find the legitimate jobs, and then it's safest to verify that the job is real before ...

6. Work-at-home scheme - Wikipedia

   en.wikipedia.org/wiki/Work-at-home_scheme

   This is an accepted version of this page This is the latest accepted revision, reviewed on 30 November 2024. Scams focused on businesses run from one's home Not to be confused with Remote work, a legitimate working arrangement. The examples and perspective in this article deal primarily with the United States and do not represent a worldwide view of the subject. You may improve this article ...

7. Virtual assistant - Wikipedia

   en.wikipedia.org/wiki/Virtual_assistant

   Virtual assistants spur the filter bubble: As for social media, virtual assistants' algorithms are trained to show pertinent data and discard others based on previous activities of the consumer: The pertinent data is the one which will interest or please the consumer. As a result, they become isolated from data that disagrees with their ...