Offers “Appen”

Expires soon Appen

Part-Time | Conversational Speech Collection in India for English Speakers

  • Entry-level job
  • New Delhi (New Delhi)
  • IT development
  • Detail Oriented
  • Fluent in English
  • Voice messages
  • Internet Savvy

Job description

Contribute to improving the future Voice Message Tech! In this project, the goal is to improve voice recognition system performance and Conversational Messaging. Join us!

In this task, participants will be required to record 5 to 15-minute conversations with family/friends discussing different topics and in a specific ambient environment. To complete the task, you and your partner will need to record no less than 1 hour of conversation.

Interested? To get started, please sign up using the link below.
https://connect.appen.com/qrp/core/sign-up

Make sure to add all your native languages when creating your profile in the system. Once your account has been created, click the 'All Projects' Tab and "Continue" to complete your Profile and Unlock More Projects.

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 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 mobile phone
• Native English speaker living in India

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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