Video Data Collection Project for Kazakh speakers in Kazakhstan
Entry-level job Almaty, Қазақстан IT development
Job description
Do you have cats or dogs in your house? Are you interested on improving quality and capability of the smartphone camera? This project is for you!
Appen is 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:
• Your pet dog or a cat
• A smartphone device
• Kazakh speaker living in Kazakhstan
Please follow the steps below on how to apply for the Mashel project:
1. Visit the Appen website using the link below:
https://connect.appen.com/qrp/core/register_express/89afd8ed09eff009fc88e6de1fcc050f
2. Choose Kazakh (Kazakhstan) 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
• Your pet dog or a cat
• A smartphone device
• Kazakh speaker living in Kazakhstan
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.