Job descriptionMercor 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.