Video Data Collection Project in Malaysia | Malay speakers
Entry-level job Kuala Lumpur, Malaysia Infra / Networks / Telecom
Job description
Looking for a fun project to showcase your filming skills? If you have a smartphone and enjoy documenting the world around you, then this project may just be what you are looking for!
We are working with a leading technology company on improving quality and capability of the smartphone camera. Data collected from this project will be used for research and device training purposes.
Requirements:
• Have access to a smartphone
• Malay speaker living in Malaysia
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/1232e2dcfb4f8ff3d3ebb4ba8ae02bc5
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
• Have access to a smartphone
• Malay speaker living in Malaysia
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 technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.