1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Chemin
·12 days agoChemin
·12 days agoLocation
remote, United States
Commitment
Part Time
Level
Junior (<2 years)
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.
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.
Duration: Approximately 2 months
Time commitment: Around 4–6 hours per day
Onboarding Training: Mandatory (TBD, during office hours 9:00 AM–6:00 PM GMT-3)
Working hours: Flexible (tasks can be completed anytime before the assigned deadline)
Audio Collection: USD 1 per accepted audio minute
Transcription: USD 2 per accepted task (AHT: ~30–60 minutes per task)
Project Period: July – August 2026
Work remotely from anywhere
Be part of an AI project representing authentic U.S. English conversations
Priority consideration for future opportunities
Gain hands-on experience in AI language data, transcription, and audio annotation
Contribute to building smarter and more inclusive AI language technologies