Job Description - Audio Collection & Transcription - Native U.S. English Speakers
Description
About Kaya
Kaya by Chemin Sdn Bhd is a community for high-performing data annotators who play an integral role in shaping the future of machine learning and artificial intelligence.
Kaya offers a collaborative environment where ambitious annotators can thrive. It is a tight-knit community that supports members' professional growth and helps them build a long-term career in data labelling and AI.
Join Kaya and start contributing to impactful AI projects.
About the Role
We are looking for native U.S. English speakers to join a short-term remote project helping train AI language systems.
Your task in this project is to record natural customer service conversations based on client-provided scripts and accurately transcribe your own recordings. These conversations reflect how people naturally speak in real-life customer service interactions, helping AI better understand authentic U.S. English speech.
If you're comfortable working with audio, detail-oriented, and can commit a few hours a day, this project is for you.
Requirements
What You'll Be Doing
Record natural customer service conversations by following client-provided scripts
Transcribe your own recordings accurately
Segment audio into natural speech units
Identify and label speakers when multiple voices are present
Apply transcription guidelines, punctuation, and annotation tags correctly
Follow project guidelines to maintain high-quality outputs
Communicate actively with the Project Manager for clarifications
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