Remote Cantonese Audio Generalist Evaluator Expert - AI Trainer ($50-$50 per hour)

Mercor is seeking a

• Cantonese Audio Generalist Evaluator Expert
• to contribute to a high-impact audio AI research project with a leading research lab. In this role, you will work on transcription, annotation, and evaluation tasks that help train and benchmark advanced language models. This is a short-term, structured engagement ideal for candidates with strong academic or analytical backgrounds who are fluent in
• Cantonese and English
• and enjoy translating complex audio and visual information into precise, well-structured text.
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• Job Responsibilities
• ###
• Transcribe and Optimize Audio & Video
• Listen to, analyze, and transcribe audio and video content in
• Cantonese
• , following detailed constraints and instructions. - Produce high-quality written outputs, with supporting work in
• English when required
• . - Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines. ###
• Define and Document Evaluation Standards
• Establish clear expectations for correct and high-quality responses in general consumer audio contexts. - Develop detailed evaluation rubrics and grading guidelines in
• Cantonese and English
• . - Document standards to ensure consistency across reviewers and model evaluations. ###
• Conduct Model Testing and Grading
• Run prompts through language models and assess generated outputs. - Evaluate responses against predefined criteria for
• accuracy, completeness, and instructional clarity
• . ###
• Support Benchmarking and Quality Assurance
• Participate in QA and review cycles to ensure tasks, rubrics, and outputs meet Mercor’s quality bar. - Maintain consistency and reliability before datasets are integrated into official benchmarks. - Collaborate with project leads to resolve ambiguities and improve task design.
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• Minimum Qualifications
• Strong writing, editing, and critical thinking skills. - Ability to work independently, manage time effectively, and meet deadlines. - Fluency in
• Cantonese and English
• (spoken and written). - Available to commit
• 10–20 hours per week
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• Preferred Qualifications
• College students or recent graduates. - Background in linguistics, humanities, social sciences, or technical fields. - Prior experience with transcription, annotation, evaluation, or research workflows. - Interest in AI, language models, or applied research environments.
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• Application & Onboarding Process
• Complete a short AI-led interview (approximately 15 minutes). - If selected, you will be onboarded and invited to begin project work.
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• Additional Role Details
• Work in a structured, goal-oriented project environment with clear tooling, guidelines, and support. - Gain hands-on exposure to real-world AI research and evaluation workflows.