Audio Collection & Transcription - Native U.S. English Speakers

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.

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.

• 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

• 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

• Native speaker of U.S. English
• Strong listening, reading, and writing skills in English
• Excellent attention to detail and ability to follow written guidelines
• Detail-oriented and patient, able to maintain at least 95% accuracy
• Willing to ask questions when unsure
• Quiet environment suitable for recording audio
• Laptop or desktop with a stable internet connection
• Ability to manage your own time and meet deadlines
• Willing to complete a mandatory pre-assessment as part of the screening process, assessment here: assessment here: (Use the "Apply for this Job" box below)./Vkhfz2fGVXiWvHMv6

A mandatory pre-assessment will be shared to evaluate whether your skill and language proficiency meets the project s quality standards.

Bonus points:

Previous experience in transcription, audio annotation, data labelling, or AI-related projects.

• 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