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. 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. 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 Project Details 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) Pay Rate 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 What Do I Need? 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 A mandatory pre-assessment will be shared to evaluate whether your skill and language proficiency meets the project's quality standards. Bonus point: 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