Offers “Appen”

Expires soon Appen

WFH-Data Collection for Kannada speaker in India

  • Entry-level job
  • Belagavi (Belagavi taluku)
  • IT development
  • Kannada speaker
  • Fluent in English
  • Detail-Oriented
  • Google Search history and/ or Google Assistant history

Job description

Help us improve the quality of day-to-day mobile interactions with smart assistants and online search mechanics.

We’re looking for those who are willing to share the transcripts from their ‘Google Assistant’ and/ or ‘Google Search’ data from their mobile phone history. You will need to be an avid/ frequent user of either and share those transcripts as part of the data collection.

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

• Must reside in India
• Must have a Google Search history and/ or Google Assistant history
• Must be able to extract transcription history (instructions provided)
• Android device
• Must be a Kannada speaker

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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