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  2. Amazon Mechanical Turk - Wikipedia

    en.wikipedia.org/wiki/Amazon_Mechanical_Turk

    Amazon Mechanical Turk ( MTurk) is a crowdsourcing website with which businesses can hire remotely located "crowdworkers" to perform discrete on-demand tasks that computers are currently unable to do as economically. It is operated under Amazon Web Services, and is owned by Amazon. [1] Employers, known as requesters, post jobs known as Human ...

  3. ‘I’m going to do whatever I need to do to get money’: This ...

    www.aol.com/finance/m-going-whatever-money...

    At one time, if you wanted job stability, you’d seek out corporate work. You could post up at a desk for 30-plus years and expect to retire with a tidy nest egg.

  4. Amazon Elastic Compute Cloud - Wikipedia

    en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud

    Amazon Elastic Compute Cloud ( EC2) is a part of Amazon.com 's cloud-computing platform, Amazon Web Services (AWS), that allows users to rent virtual computers on which to run their own computer applications. EC2 encourages scalable deployment of applications by providing a web service through which a user can boot an Amazon Machine Image (AMI ...

  5. 12 Jobs for People with Anxiety, Regardless of Skill Level

    www.healthline.com/health/anxiety/jobs-for...

    attention to detail. Trusted Source. strong intuition. problem-solving skills. a love for routine. affective empathy. a knack for analyzing your thoughts and feelings. Focusing on the things you ...

  6. Artificial intelligence in hiring - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    e. Artificial intelligence ( AI) in hiring involves the use of technology to automate aspects of the hiring process. Advances in artificial intelligence, such as the advent of machine learning and the growth of big data, enable AI to be utilized to recruit, screen, and predict the success of applicants.

  7. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    Cloud computing has a rich history that extends back to the 1960s, with the initial concepts of time-sharing becoming popularized via remote job entry (RJE). The "data center" model, where users submitted jobs to operators to run on mainframes, was predominantly used during this era.

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