Swahili Linguistic Expert at Mercor
posted 54 minutes agoSwahili Linguistic Expert | $40/hr | Part Time | Remote
About the role
Mercor is hiring Swahili Linguistic Experts for an AI research project in partnership with a leading research lab. You will evaluate how effectively a large language model (LLM) performs on Swahili-language tasks and curate high-quality Swahili linguistic data to train and improve the model's understanding and generation.
What you'll do
- Evaluate the quality and accuracy of LLM-generated Swahili text across use cases such as translation, summarization, dialogue, and grammar correction.
- Edit, refine, or rewrite Swahili content to meet linguistic and cultural standards for Swahili-speaking audiences.
- Annotate Swahili 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 Swahili, with strong command of grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Swahili.
- Understanding of Swahili nuances, regional variations, register, and context-appropriate usage.
- Professional fluency in English.
- Interest in AI and LLM-driven language technologies (preferred, not required).
- Attention to detail and the ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.
Pay and schedule
This is a part-time, fully remote role at $40/hr. You'll gain hands-on exposure to state-of-the-art AI research, and your linguistic judgment will have a direct, meaningful impact on model development.
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.