hackajob is partnering with Mercor to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Mercor is seeking a **Taiwanese 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 **Traditional Chinese (Taiwan Mandarin) and English** and enjoy translating complex audio and visual information into precise, well-structured text. * * * ## Job Responsibilities ### Transcribe and Optimise Audio & Video - Listen to, analyse, and transcribe audio and video content in **Traditional Chinese (Taiwan Mandarin)**, following detailed constraints and instructions. - Produce high-quality written outputs in Traditional Chinese, with supporting work in English when required. - Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines. - Capture tone, intent, and region-specific expressions common in Taiwanese Mandarin usage. * * * ### 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 **Traditional Chinese and English**. - Document standards to ensure consistency across reviewers and model evaluations. - Identify linguistic nuances, colloquialisms, and edge cases specific to Taiwanese Mandarin. * * * ### Conduct Model Testing and Grading - Run prompts through language models and assess generated outputs. - Evaluate responses against predefined criteria for accuracy, completeness, fluency, and instructional clarity. - Provide structured feedback to improve model performance in Traditional Chinese audio tasks. * * * ### 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. - **Native or near-native fluency in Traditional Chinese (Taiwan Mandarin, spoken and written) and professional fluency in English.** - Ability to accurately transcribe and analyse Taiwanese Mandarin audio content across general consumer contexts. - Available to commit **10–20 hours per week**. * * * ## Preferred Qualifications - College students or recent graduates. - Background in linguistics, humanities, social sciences, journalism, or technical disciplines. - Prior experience with transcription, annotation, localisation, evaluation, or research workflows in Traditional Chinese. - Familiarity with Taiwan-specific vocabulary, idiomatic expressions, and cultural context. - 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. - Contribute directly to benchmarking and improving advanced multilingual language models.
hackajob is partnering with Mercor to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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