Remote Cantonese Audio Generalist Evaluator Expert - AI Trainer

Overview

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.

• 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.

• 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.

• 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.

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

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.