Are you a Mapudungun language expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful tools for communication, education, and cultural preservation. With high-quality training data, tomorrow’s AI can accurately capture Mapudungun vocabulary, grammar, dialectical variations, and cultural context—helping preserve Indigenous knowledge and support authentic linguistic interactions. That training data begins with you—we need your expertise to help power the next generation of AI.
We’re looking for Mapudungun language specialists who live and breathe regional dialects, phonetics, syntax, idiomatic expressions, oral traditions, and cultural references. You’ll challenge advanced language models on topics like contextual interpretation, tone and meaning, dialectical distinctions, semantic accuracy, and cultural nuance—documenting every failure mode so we can harden model reasoning.
On a typical day, you will converse with the model in Mapudungun across a wide range of topics, verify linguistic accuracy and cultural relevance, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
A Master's degree in Linguistics, Indigenous Studies, Translation, or a related field is ideal; professional experience in teaching, translation, language documentation, or community work signals fit. Clear, metacognitive communication—“showing your work”—is essential.
Ready to turn your Mapudungun expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
We offer a pay range of $8-to-$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.
Job title: Mapudungun Language Expert – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid-Senior Level