Simplified Chinese Linguistic Expert at Mercor
posted 1 hour agoSimplified Chinese Linguistic Expert | $40/hr | Remote | Part-Time
About the role
Mercor is hiring Simplified Chinese Linguistic Experts for an AI research project in partnership with a leading research lab. You will evaluate how well a large language model (LLM) performs on Simplified Chinese tasks and curate high-quality Chinese linguistic data to train and improve the model's understanding and generation.
What you'll do
- Evaluate the quality and accuracy of LLM-generated Chinese text across use cases such as translation, summarization, dialogue, and grammar correction
- Edit, refine, or rewrite Chinese content to meet linguistic and cultural standards for Simplified Chinese readers (e.g., mainland China and Singapore)
- Annotate Chinese text for grammatical, syntactic, and semantic features
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance
- Provide detailed linguistic feedback and analysis to guide ongoing model training
You're a strong fit if you have
- Native or near-native fluency in Simplified Chinese, with excellent command of grammar, syntax, and stylistics
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Chinese
- Strong understanding of Simplified Chinese nuances, regional variations, register, and context-appropriate usage, including how it differs from Traditional Chinese
- Professional fluency in English
- Interest in AI and LLM-driven language technologies (preferred but not required)
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing
- Clear communication skills and experience working in distributed, remote teams
Pay and schedule
This is a part-time, remote role paying $40/hr.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.