English Transcription (Data Annotator)

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 Project and Role

We are expanding a large-scale AI project in collaboration with a client in the gaming industry. As this initiative continues to grow, we are seeking committed, high-performing individuals who are ready to contribute meaningfully and grow alongside the project.

This is a fully remote opportunity with strong potential for continued involvement as the project scales.

As a Data Annotator, you will listen to short audio clips and complete three core tasks:

• Segment: Divide audio based on different speakers
• Tag: Identify the language and accent of the speaker(s)
• Transcribe: Convert spoken English into written text

You will receive structured training and ongoing support from Project Managers to ensure you meet quality standards and continue developing your expertise.

We are looking for individuals who are ready to commit, maintain consistency, and grow within a scaling AI initiative.

Responsibilities

• Deliver high-quality transcriptions of audio clips with minimal revisions
• Segment spoken content into distinct, meaningful components
• Identify and label speakers and their accents accurately
• Communicate effectively with Project Managers on challenges, questions, or feedback
• Meet key deadlines while maintaining quality and consistency

Requirements:
• Strong English fluency (C1 level or higher) to handle diverse accents
• Prior experience in English writing

• A laptop or desktop computer with a stable internet connection
• High attention to detail and consistency
• Growth mindset and willingness to adapt to the project
• Strong time management and ability to maintain sustained commitment
• Complete this pre-assessment first to be considered for training and onboarding.
• Tips: Read the guidelines thoroughly and recheck after you complete the assessment so you won't miss any details

Bonus points if you have:

• Prior experience in transcription or data annotation projects
• Academic background in any STEM, Social Sciences, Psychology, Linguistics, Humanities, or similar fields

Working Arrangements

• Fully remote project
• Expected commitment of approximately 6 hours per day (including some weekends) during active project phases
• Project runs from November and continue to expand in 2026
• As the project scales, consistent and high-performing annotators may receive continued opportunities
• No cap on earnings. The more you complete, the more you earn!

Benefits:
• Earn up to USD $1.05 per valid audio minute

• Add a flexible side hustle to your existing commitments
• Gain hands-on AI experience while building professional annotation expertise.
• Be part of Kaya by Chemin Sdn Bhd and contribute to technology shaping the future

To apply for the next cohort in March 2026, please complete the pre-assessment: https://forms.gle/3i4Qz9AHufvBwYoD8