Work From Home / Part Time Opportunity in Taiwan

Work From Home / Part Time Opportunity in Taiwan

Appen
0-1 years
Not Specified

Job Description

Appen is seeking candidates in United States for exciting work-from-home opportunities!
These opportunities range from simple surveys that can be completed in less than one hour to on-going projects that last for months or longer. It can be 3 hours/week, 15 hours/week, 20 hours/week, etc. it depends on the
project(s) you are applying for.
Here are examples of some of the opportunities that may be available:
💻Search Media Evaluation
📱Social Media Evaluation
Translation
🎧Transcription
💻Survey and Data Collection
💻Linguistic Specialties
📌How do I apply
Simply click the APPLY button and complete a short registration
https://connect.appen.com/qrp/public/jobssref=a24ccbccc238433d6dd40be8eb1b43a7
Make sure to add all your native languages when creating your profile in the system. Once you completed the registration, you will be screened for eligibility.
📌How do I get started
Once your account has been created and passed the screening process, you will be able to apply to our available projects. There are always new and exciting projects being added so visit this page often! You may check your dashboard for the latest update on your applications.
If there aren't any currently, feel free to check periodically as we are continuously adding new projects. The team in-charge of the projects you are currently qualifying for would also be sending you updates once they've finished reviewing your application.
'A diverse, inclusive culture is vital to our mission of helping build better AI. We offer opportunities for individuals of all abilities and backgrounds.'
Thank you and we hope to work with you soon!

About Appen

Appen is a global leader in the development of high-quality, human annotated datasets for machine learning and artificial intelligence. With over 20 years of experience, expertise in more than 180 languages, and access to a global crowd of over 400,000, Appen partners with leading technology companies to enhance their machine learning-based products.

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