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.

• 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. * * * ## 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 . * * * ## 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. * * * ## Application & Onboarding Process - Complete a short AI-led interview (approximately 15 minutes). - If selected, you will be onboarded and invited to begin project work. * * * ## 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.