Traditional Chinese Linguistic Expert at Mercor
posted 43 minutes agoTraditional Chinese Linguistic Expert | $40/hr | Part-time | Remote
Mercor is hiring Traditional Chinese Linguistic Experts to work on an AI research project in partnership with a leading research lab. The role focuses on evaluating how well a large language model (LLM) performs on Traditional Chinese tasks, and on curating high-quality Chinese linguistic data to train and improve the model.
What the work involves
- Evaluating the quality and accuracy of LLM-generated Chinese text across use cases such as translation, summarization, dialogue, and grammar correction.
- Editing, refining, or rewriting Chinese content to meet linguistic and cultural standards for Traditional Chinese readers, for example in Taiwan and Hong Kong.
- Annotating Chinese text for grammatical, syntactic, and semantic features.
- Identifying model errors and language gaps, and collaborating with AI researchers to improve LLM performance.
- Providing detailed linguistic feedback and analysis to guide ongoing model training.
Who it's for
- Native or near-native fluency in Traditional Chinese, with a strong command of grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Chinese.
- Understanding of Traditional Chinese nuances, regional variations, register, and context-appropriate usage, including how it differs from Simplified Chinese.
- Professional fluency in English.
- Keen attention to detail and the ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.
- An interest in AI and LLM-driven language technologies is preferred but not required.
Pay, schedule and location
This is a part-time, fully remote role paying $40/hr. The listing does not state specific working hours or location restrictions.
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.