Penerangan Pekerjaan - English Transcription Specialist (Remote Job - Malaysia)
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
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!
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
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