Turkish Linguistic Expert at Mercor
posted 1 hour agoTurkish Linguistic Expert | $50/hr | Remote | Part Time
Mercor is hiring experienced Turkish Linguistic Experts for an AI research project run in partnership with a leading research lab. The work focuses on evaluating how well a large language model (LLM) performs on Turkish-language tasks and on curating high-quality Turkish linguistic data to train and improve the model.
What you'll do
- Evaluate the quality and accuracy of LLM-generated Turkish text across use cases such as translation, summarization, dialogue and grammar correction.
- Edit, refine or rewrite Turkish content to meet linguistic and cultural standards.
- Annotate Turkish 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.
Who this is for
- Native or near-native fluency in Turkish, with excellent command of grammar, syntax and stylistics.
- Professional experience in translation, editing, linguistic annotation or NLP data work in Turkish.
- Strong 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
This is a part-time remote role paying $50/hr.
The role offers hands-on exposure to AI research and development, and your linguistic judgment directly supports the improvement of the model.
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.