Indonesian Linguistic Expert at Mercor
posted 2 hours agoIndonesian Linguistic Expert | $30/hr | Remote | Part Time
Mercor is hiring Indonesian 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 Indonesian-language tasks and curating high-quality Indonesian linguistic data to improve the model's understanding and generation.
What the work involves
- Evaluating the quality and accuracy of LLM-generated Indonesian text across use cases such as translation, summarization, dialogue and grammar correction.
- Editing, refining or rewriting Indonesian content to meet linguistic and cultural standards.
- Annotating Indonesian 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 this is for
- Native or near-native fluency in Indonesian, with excellent command of grammar, syntax and stylistics.
- Professional experience in translation, editing, linguistic annotation or NLP data work in Indonesian.
- Strong understanding of linguistic nuances, regional variations and context-appropriate usage.
- Excellent attention to detail, including spotting 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, schedule and location
The role is part time and fully remote, paid at $30 per hour. You will get hands-on exposure to state-of-the-art AI research, and your linguistic judgment will directly shape how the model handles Indonesian.
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.