AI Researcher – Multilingual Data

We’re looking for an AI Researcher focused on multilingual data to help us build and scale next-generation language models across diverse languages and domains. You’ll own research and execution around data sourcing, curation, evaluation, and training strategies for multilingual and low-resource languages, with a strong emphasis on publishing high-quality research and translating it into production systems.

This role is ideal for someone who enjoys working close to the frontier: balancing papers, prototypes, and real-world impact in a fast-moving startup environment.

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  Design and execute research on multilingual datasets, including data collection, filtering, deduplication, and quality measurement

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  Develop strategies for low-resource and long-tail languages (sampling, augmentation, curriculum design)

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  Research and improve cross-lingual transfer, alignment, and robustness in large language models

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  Build and maintain evaluation benchmarks for multilingual performance

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  Collaborate with engineers and researchers on training pipelines and model architecture decisions

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  Publish research at top venues (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) and contribute to open-source when appropriate

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  Translate research insights into practical improvements in production models

• Strong background in NLP / ML research, with a focus on multilingual or cross-lingual modeling

• Experience with low-resource languages or non-Latin scripts

• Open-source contributions in NLP or data tooling

• Experience training or evaluating large language models

• Familiarity with multilingual benchmarks (e.g., XTREME, FLORES, TyDi QA)