British English Linguistic Expert at Mercor
posted 14 minutes agoBritish English Linguistic Expert | $40/hr | Remote, part-time
About the role
Mercor is hiring experienced British English Linguistic Experts for an AI research project run in partnership with a leading research lab. The work centres on evaluating how well a large language model (LLM) performs on British English tasks, and on curating high-quality English linguistic data to train and improve the model's understanding and generation.
What the work involves
- Evaluate the quality and accuracy of LLM-generated English text across use cases such as translation, summarization, dialogue and grammar correction
- Edit, refine or rewrite English content to meet linguistic and cultural standards for the United Kingdom
- Annotate English 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 efforts
Who it's for
- Native or near-native fluency in British English, with excellent command of grammar, syntax and stylistics
- Professional experience in translation, editing, linguistic annotation or NLP data work in English
- Strong understanding of British English nuances, regional variations, register and context-appropriate usage, including how it differs from American English and other English varieties
- Excellent attention to detail, with 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 $40 per hour on a part-time basis.
Location
This is a remote role.
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.