Generalist - Mandarin Speaker

About the Role

micro1 is engaging Generalist - Mandarin Speakers to contribute to a dynamic customer project focused on cutting-edge AI development. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This is an exciting opportunity for individuals passionate about language, technology, and meticulous data work to influence the future of artificial intelligence.

Responsibilities & Tasks

• Carefully read and analyze long, multi-turn chat transcripts, including complex conversations and two extended responses side by side.
• Annotate data accurately, leveraging your Mandarin fluency and attention to detail to provide reliable labels and insights.
• Evaluate and compare chat responses, including those with technical or programming content, ensuring clarity and correctness.
• Apply your basic coding knowledge to interpret Mandarin programming-related questions and assess the quality of solutions.
• Deliver structured feedback on language use, logic, and overall response quality in both Mandarin and English.
• Create thorough documentation and notes to support model improvements and data transparency.
• Collaborate remotely with project leads and other contributors through clear written and verbal communication channels.

Qualifications & Requirements

• Fluency in both written and spoken Mandarin; native or near-native proficiency in written English.
• Bachelor’s degree in any discipline or equivalent practical experience.
• Demonstrated experience with data annotation, particularly in language or technology-related contexts.
• Ability to read and understand basic code, especially as it relates to programming discussions in Mandarin.
• Exceptional attention to detail and careful reading skills for handling lengthy and nuanced textual content.
• Strong written and verbal communication skills, with a commitment to clarity and professionalism.
• Prior experience with annotation projects, linguistic analysis, or educational/technical content is a strong plus.

Eligibility