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Transcription Reviewer - Cantonese and Mandarin (Remote Job)

Work from home Full-time role Hiring

About Kaya

Kaya by Chemin Sdn Bhd is a community of high-performing data annotators helping build the next generation of AI. Join us to work on impactful AI projects, develop your skills, and become part of a growing global community.

About the Role

We're looking for Audio Transcription Reviewers to join our AI language project and help ensure the quality of Cantonese or Mandarin (Traditional Chinese) - English transcriptions.

In this role, you'll be part of our Quality Control (QC) team, reviewing completed audio transcriptions to ensure they are accurate, complete, and follow project guidelines before they are delivered to the client.

This project features authentic Hong Kong Cantonese-English conversations, so we're primarily looking for candidates who are fluent in Cantonese and familiar with the Hong Kong accent. While some recordings include healthcare-related conversations and English medical terminology, a healthcare background or familiarity with medical terminology is an advantage, but not required.

If you're detail-oriented, enjoy reviewing language data, and want to contribute to building better AI language technologies, we'd love to hear from you.

Requirements

Project Details

  • Project Duration: Approximately 2 months
  • Working Hours: Flexible
  • Estimated Workload: Approximately 2 hours per batch
  • Onboarding Training: Mandatory (during office hours, GMT+8)

What You'll Be Doing

  • Review completed Cantonese-English audio transcriptions for accuracy and completeness
  • Verify audio segmentation and speaker labels
  • Identify and correct transcription, segmentation, and formatting errors
  • Ensure healthcare terminology is transcribed accurately where applicable
  • Follow project guidelines to maintain consistent quality standards
  • Escalate unclear or complex cases when necessary
  • Communicate with the Project Manager for clarification
  • Complete assigned batches within the project timeline

Language Skills

  • Fluent in spoken Cantonese and able to read and write Traditional Chinese
  • Familiar with the Hong Kong Cantonese accent
  • Comfortable reviewing Cantonese-English conversations containing code-switching and occasional English medical terminology
  • Fluent in English for project communication and understanding project guidelines

Preferred Qualifications

  • Experience reviewing transcriptions, subtitles, or language-related content
  • Healthcare background or familiarity with medical terminology is an advantage
  • Previous experience in transcription, quality control, data annotation, localization, or AI language projects is a plus

Other Requirements

  • Strong attention to detail with the ability to identify transcription and segmentation errors
  • Familiar with using a Cantonese Jyutping keyboard
  • Able to follow detailed project guidelines consistently
  • Access to a laptop or desktop computer, headset, and a stable internet connection

Benefits

  • Earn up to USD 4.8/hour accepted tasks
  • Work remotely from anywhere
  • Priority consideration for future AI projects
  • Contribute to AI trained on authentic Cantonese-English healthcare conversations

How to Apply

Complete the mandatory pre-assessment as part of the screening process: https://forms.gle/D7kUzwkSgVWW7MvQ7

Fluent in spoken Cantonese, able to read/write Traditional Chinese, familiar with Hong Kong Cantonese accent, fluent in English, comfortable with code-switching and medical terminology, attention to detail, Jyutping keyboard, laptop/desktop, headset, stable internet.

Key Responsibilities

  • reviewing transcriptions
  • verifying audio segmentation
  • correcting errors

Skills & Tools

Jyutping keyboard

Job Details

  • Category: Data and Analytics
  • Seniority: No Prior Experience Required
  • Commitment: Part Time, Contract
  • Workplace: Remote — Hong Kong
  • Salary: USD 9,984 – 9,984 / year
  • Languages: English

About Kaya

A community of data annotators helping build the next generation of AI. — Industry: Information Technology

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