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