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

Chemin • Brazil, IN

22h • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: No Education Listed