Linguist

Miko is a leading AI company creating playful, educational robots that inspire curiosity in children. Our flagship product, the Miko robot, combines advanced conversational AI with a library of educational content to help kids learn and grow. With users worldwide, Miko is on a mission to make learning fun and accessible for children. Our AI models talk, think, and learn with children in multiple languages. We're now looking for a Linguist to help us deepen our understanding of language in AI and to make those conversations even smarter, more meaningful, and more inclusive.

We are seeking a Linguist with relevant experience in LLM/GenAI-based solutions who has worked professionally with English and at least one foreign language (e.g., French, Spanish, German, Polish, etc.). You will evaluate and debug AI-generated translations, identify language-specific issues, and develop prompts and linguistic strategies to improve AI performance in child-focused experiences.

Key Responsibilities: Analyse AI-translated content between English and various foreign languages to identify syntactic, semantic, grammatical, or contextual errors. Diagnose the root causes of translation failures (e.g., word order differences, idiomatic mismatches, subject-verb agreement, ambiguity). Break down complex linguistic challenges and provide actionable insights to improve AI model performance. Optimise prompts, inputs, and data pipelines for better multilingual outcomes. Work closely with language experts (native or fluent speakers) to validate findings and implement fixes. Contribute to the development of language guidelines, test sets, and evaluation frameworks. Document translation performance issues and propose prompt-level or model-level fixes. Participate in or lead projects aimed at improving multilingual LLM behaviour, especially for content targeting young users.

Ph.D. or Master's degree in Linguistics. Strong command of English linguistics, including grammar, syntax, semantics, and discourse analysis. Proven experience working with or analysing English + at least one foreign language (e.g., French, Spanish, Polish, etc.) in translation, NLP, or linguistic research contexts.