Chemin has partnered with a leading language solutions company to develop advanced AI models and enable human-like conversations for enterprise communication. We are seeking fluent Mandarin speakers to join our team as remote audio reviewers. This role focuses on reviewing pre-annotated audio files (pre-transcribed, tagged, and segmented). As an Audio Reviewer, you will assess the quality of audio content and make corrections where needed, ensuring high accuracy for AI model development. This role is ideal for detail-oriented individuals who value flexible work hours. Ultimately, you will help ensure reliable training data and contribute to the development of next-generation AI-powered language tools that accurately represent local speech. Requirements Malaysian or Singaporean that familiar with native accents Fluent in Mandarin (Simplified Chinese) and English Basic working knowledge of Bahasa Malaysia (some audios are multilingual) Strong listening & comprehension skills, including accents and dialects (Bahasa Malaysia, Mandarin, Singlish) High attention to detail and patience Comfortable asking questions when unsure Laptop or desktop with stable internet Nice to have (not required): Experience in transcription, audio review, quality control, or AI data projects Must complete and pass a pre-assessment training to be shortlisted. https://forms.gle/M2DYkGvcYpGbQKPM8 Tips for the assessment: Please be detail by replaying the audio and recheck your transcription and your spelling so you won't miss any words from the audio Responsibilities Review short audio clips that are already transcribed and tagged Correct errors in: Transcriptions Speaker labels (e.g. gender, role) Audio segmentation Make sure all spoken content is captured accurately in the correct language(s) (Mandarin / English / Bahasa Malaysia) Perform quality checks to maintain at least 96% accuracy Record errors and feedback for improvement Communicate clearly with the Project Manager when needed Complete tasks on time while maintaining quality standards Project Details Audio length: around 2-3 minutes per clip (average handling time per clip: approximately 40 minutes) Main focus: audio review and error identification Pay rate: USD 1.10 per accepted audio (2-3 minutes) - approx. MYR 4.37, subject to exchange rate Work Arrangement Commitment: 4-6 hours per day (weekends may be required) Working hours: Flexible Join 2 hours of mandatory training that will held between 9:00 am - 6:00 pm (TBD) Project period: March2026 Continuous tasks available during the project Benefits 100% remote work Earn up to MYR 35+ per batch! Training and ongoing project support provided Hands-on experience in AI and language data work Contribute to AI systems that represent Malaysian languages and accents
