French Linguistic Expert (AI Project) at Mercor
posted 2 hours agoFrench Linguistic Expert | $50/hr | Remote | Part-Time
Mercor is hiring French Linguistic Experts for a part-time AI research project run in partnership with a leading research lab. The work focuses on evaluating how well a large language model (LLM) handles French-language tasks and on curating high-quality French linguistic data to train and improve the model.
What the work involves
- Evaluating the quality and accuracy of LLM-generated French text across use cases such as translation, summarization, dialogue and grammar correction.
- Editing, refining or rewriting French content to meet linguistic and cultural standards.
- Annotating French 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 French, with a strong command of grammar, syntax and stylistics.
- Professional experience in translation, editing, linguistic annotation or NLP data work in French.
- A good understanding of linguistic nuances, regional variations and context-appropriate usage.
- Excellent attention to detail, including 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 schedule
$50/hr. Part-time.
Location
Fully remote.
Why this project
- Contribute to AI research in partnership with a leading research lab.
- Work on projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
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.