Vietnamese Linguistic Expert at Mercor
posted 9 minutes agoVietnamese Linguistic Expert | $40/hr | Remote | Part Time
Mercor is hiring Vietnamese Linguistic Experts for a part-time AI research project run in partnership with a leading research lab. The role focuses on evaluating how well a large language model (LLM) handles Vietnamese-language tasks and on curating high-quality Vietnamese linguistic data to train and improve the model.
What the work involves
- Evaluating the quality and accuracy of LLM-generated Vietnamese text across use cases such as translation, summarization, dialogue, and grammar correction.
- Editing, refining, or rewriting Vietnamese content to meet linguistic and cultural standards for Vietnamese-speaking audiences.
- Annotating Vietnamese 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 Vietnamese, with excellent command of grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Vietnamese.
- Strong understanding of Vietnamese nuances, regional variations, register, and context-appropriate usage.
- Professional fluency in English.
- Excellent attention to detail and 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 (preferred but not required).
Pay and schedule
This is a part-time, remote role paying $40/hr.
Why join
The project is a partnership with a leading research lab, giving you hands-on exposure to AI research and development. Your evaluations and data work directly support the training of advanced AI systems.
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.