Transcription Project for Gujarati Speakers in India
Entry-level job Dadra, India Infra / Networks / Telecom
Job description
Interested in transcribing audios following specific guidelines and writing conventions? This project is for you!
Requirements:
• Native Gujarati speaker
• Residing in India
• Available to spend 20-25 hours weekly on the project
• High and stable internet speed
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/public/jobs?sref=97516230e1e28ebb61b7a3de5159e811
2. Choose Gujarati (India) as your primary language.
3. Complete the Registration page and click the Submit Application button to create your account
4. Once your account has been created, click the 'All Projects' Tab and look for Godavari.
5. Choose the "Learn More” or “Qualify" button to start your qualification to the project.
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
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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
• Native Gujarati speaker
• Residing in India
• Available to spend 20-25 hours weekly on the project
• High and stable internet speed
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.