English (New Zealand) Linguistic Expert at Mercor
posted 7 minutes agoEnglish (New Zealand) Linguistic Expert | $40/hr | Part-time | Remote
Mercor is hiring English (New Zealand) linguistic experts for a part-time AI research project run in partnership with a leading research lab. You'll evaluate how well a large language model (LLM) performs on New Zealand English tasks and help curate high-quality English linguistic data to improve its understanding and generation.
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 for New Zealand.
- 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 it's for
- Native or near-native fluency in English (New Zealand), with an excellent command of grammar, syntax and stylistics.
- Professional experience in translation, editing, linguistic annotation or NLP data work in English.
- Strong understanding of New Zealand English nuances, regional variations, register and context-appropriate usage, including how it differs from Australian, British and American English.
- 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
$40/hr, part-time.
Location
Fully remote, working with a distributed team.
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.