Generalist - Mandarin Speaker

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.

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.

• Basic coding knowledge, fluency in Mandarin, data annotation
• 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.