Transcription Project for Iranian Persian Speakers in Malaysia
Entry-level job Kuala Lumpur, Malaysia IT development
Job description
Would you like to accurately transcribe (i.e. type out or represent with pre-filled tags) the speech presented to you in audio files? This project is for you!
You will also be inserting timestamps. You will be using our online transcription platform called "Ampersand". The speakers in this project's audio will be Farsi.
Requirements:
• be native of Farsi currently in Malaysia
• available 10 hours or more per week
• prior audio transcription experience
• strong attention to detail
• understanding of basic linguistic concepts
• ability to review examples and apply rules to data
Interested? Please apply using this link and start your journey with us.
https://connect.appen.com/qrp/public/jobs?sref=4fdfe0c1f8429ed7f37158ce84053e0d
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
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
• be native of Farsi currently in Malaysia
• available 10 hours or more per week
• prior audio transcription experience
• strong attention to detail
• understanding of basic linguistic concepts
• ability to review examples and apply rules to data
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.