English Linguistic Expert at Mercor
posted 2 hours agoEnglish Linguistic Expert | $50/hr | Remote | Part Time
About the role
Mercor is hiring English Linguistic Experts for a part-time, remote role on an AI research project in partnership with a leading research lab. You will evaluate how well a large language model (LLM) performs on English-language tasks and help curate high-quality English linguistic data used to train and improve the model's understanding and generation capabilities.
What the work involves
- Evaluating the quality and accuracy of LLM-generated English text across use cases such as translation, summarization, dialogue and grammar correction.
- Editing, refining or rewriting English content to meet linguistic and cultural standards.
- Annotating English 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 English fluency, with excellent command of grammar, syntax and stylistics.
- Professional experience in translation, editing, linguistic annotation or NLP data work in English.
- 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.
- An interest in AI and LLM-driven language technologies is preferred but not required.
Pay and schedule
The role pays $50/hr and is part-time.
Location
This is a remote role, working with distributed, remote teams.
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.