Offers “Appen”

Expires soon Appen

Image Data Collection for Telugu (India) | Work from Home

  • Entry-level job
  • Visakhapatnam (Vishākhapatnam)
  • IT development
  • Telugu
  • Fluent in English
  • Detail-Oriented
  • Algebra, Geometry, Trigonometry, Probability & Statistics, and Calculus Textbooks

Job description

Help improve text recognition for educational/ textbook categories and work with a leading provider in the AI space.

In this task, you will be required to collect images from mathematical educational textbooks within several categories for example Algebra, Geometry, Trigonometry, Probability & Statistics, and Calculus.
• Quick and easy
• Simple and fun
• Open earning potential

Interested? To get started, please sign up using the link below.

If you are already registered to Appen Connect, please log in to your account, click the “All Projects” tab and look for this project.

Here’s a guide on how to create a profile in Appen Connect:

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
Learn more at

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 send me an email at
Thank you and we hope to work with you soon!

Desired profile

• Smartphone or tablet device
• Access to mathematics textbooks
• Located in India and have access to Hindi, English, or Telugu language Maths textbooks

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.

Make every future a success.
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