Mercor Is Hiring A Remote Cantonese Audio Generalist Evaluator Expert

Join Mercor as a Cantonese Audio Generalist Evaluator Expert! 🎧

Mercor is looking for a skilled Cantonese Audio Generalist Evaluator to contribute to an impactful audio AI research project with a leading research lab. This role offers an exciting opportunity to work on transcription, annotation, and evaluation tasks that support the development of cutting-edge language models.

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, including 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 accurate and high-quality responses in general consumer audio contexts.
• Develop detailed evaluation rubrics and grading guidelines in both Cantonese and English.
• Document standards to maintain consistency across reviewers and model evaluations.
• Conduct Model Testing and Grading
• Run prompts through language models and assess generated outputs.
• Evaluate responses based on predefined criteria such as 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 standards.
• Maintain consistency and reliability before datasets are incorporated into official benchmarks.
• Collaborate with project leads to resolve ambiguities and enhance 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)
• Availability 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

Additional Role Details

• Work within a structured, goal-oriented project environment with clear tooling, guidelines, and support
• Gain hands-on experience in real-world AI research and evaluation workflows