Chinese (Hong Kong) Linguistic Expert at Mercor
posted 34 minutes agoChinese (Hong Kong) Linguistic Expert | $40/hr | Remote
Mercor is hiring Chinese (Hong Kong SAR China) linguistic experts for an AI research project run in partnership with a leading research lab. The work focuses on evaluating how a large language model (LLM) performs on Hong Kong Chinese (Traditional) language 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 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 this is for
- Native or near-native fluency in Chinese (Hong Kong SAR China), with strong command of grammar, syntax and stylistics.
- Professional experience in translation, editing, linguistic annotation or NLP data work in Chinese.
- Strong understanding of Hong Kong Chinese (Traditional) nuances, regional variations, register and context-appropriate usage, including how it differs from Mainland and Taiwanese Chinese.
- Professional fluency in English.
- Excellent attention to detail, with the ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed remote teams.
- Interest in AI and LLM-driven language technologies is preferred but not required.
Pay and commitment
Pay is $40/hr. The role is part-time.
Location
Fully remote.
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.