Chinese (China) Linguistic Expert at Mercor
posted 26 minutes agoChinese (China) Linguistic Expert | $40/hr | Remote | Part Time
Mercor is hiring Chinese (China) Linguistic Experts for a part-time, remote AI research project in partnership with a leading research lab. The role centers on evaluating how well a large language model (LLM) performs on Mainland Chinese (Simplified) tasks and on curating high-quality Chinese linguistic data to train and improve the model's understanding and generation capabilities.
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 mainland China.
- 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 efforts.
Who this is for
- Native or near-native fluency in Chinese (China), with excellent command of grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Chinese.
- Strong understanding of Mainland Chinese (Simplified) nuances, regional variations, register, and context-appropriate usage, including how it differs from Traditional Chinese usage in Hong Kong and Taiwan.
- 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
$40/hr, 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.