Hindi Linguistic Expert at Mercor
posted 1 hour agoHindi Linguistic Expert | $30/hr | Remote | Part-time
Mercor is hiring Hindi 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 Hindi-language tasks and on curating high-quality Hindi linguistic data to train and improve the model's understanding and generation capabilities.
What the work involves
- Evaluating the quality and accuracy of LLM-generated Hindi text across use cases such as translation, summarization, dialogue and grammar correction
- Editing, refining or rewriting Hindi content to meet linguistic and cultural standards
- Annotating Hindi 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 Hindi, with excellent command of grammar, syntax and stylistics
- Professional experience in translation, editing, linguistic annotation or NLP data work in Hindi
- Strong understanding of linguistic nuances, regional variations and context-appropriate usage
- Interest in AI and LLM-driven language technologies (preferred, not required)
- Excellent attention to detail, including spotting subtle errors or unnatural phrasing
- Clear communication skills and experience working in distributed, remote teams
Pay and schedule
The role pays $30/hr and is part-time. It is fully remote.
Why this project
- Contribute to AI research in partnership with a leading research lab
- Work on high-impact projects that directly support the development of advanced AI systems
- Gain hands-on exposure to state-of-the-art AI research and development, where your expertise and judgment have a meaningful impact
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.