Expires soon Appen

Video Collection in Malaysia for Malay speakers

  • Entry-level job
  • Kuala Lumpur, Malaysia
  • IT development
  • Internet Savvy
  • Detail Oriented
  • Fluent in English
  • iOS device

Job description

Would you like to record yourself pretending to have short FaceTime video conversations? Have fun creating short self-videos!

In this project, you will record several easy and short videos using the front-facing camera on your smartphone device and upload them to the Appen Mobile Recorder app.

Requirements:
• Must have access to an iOS device
• Must be living in Malaysia, speaks Malay

Please follow the steps below on how to apply for the project:
1. Visit the Appen website using the link below:
https://connect.appen.com/qrp/core/register_express/e8b23197b003b6fe74f8c453ed824b9b
2. Choose Malay (Malaysia) as your primary language.
3. Complete the Registration page and click the Submit Application button to create your account.

Don’t miss the chance to earn extra income working from the comfort of your own home. This is a great opportunity for you and your friends!
• Work from home with flexible hours
• You can work on our projects around your other jobs
• Appen is ranked as top 1 out of 100 companies offering remote jobs by Flexjobs.com

Learn more at Appen.com
A diverse, inclusive culture is vital to our mission of helping build better AI. We offer opportunities for individuals of all abilities and backgrounds.

If you have further questions, do not hesitate to email me at croca@appen.com
Thank you and we hope to work with you soon!

Desired profile

• Must have access to an iOS device
• Must be living in Malaysia, speaks Malay

About Appen










Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video.


We have deep expertise in more than 180 languages and dialects, and access to a global crowd of over 400,000 skilled contractors.


Appen partners with leading technologyautomotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.





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