AI Researcher – Multilingual Data

📋 Description

• Design and conduct multilingual dataset research: collection, filtering, quality.
• Develop strategies for low-resource languages via sampling and augmentation.
• Improve multilingual LLMs through cross-lingual transfer, alignment, and robustness.
• Build and refine multilingual evaluation benchmarks across languages.
• Collaborate with ML engineers to shape training pipelines, architectures, and deployment.
• Publish research at AI/NLP conferences and contribute to open-source initiatives.

🎯 Requirements

• Advanced NLP/ML/AI background.
• Proven multilingual/cross-lingual LM research with conference pubs.
• Hands-on with large multilingual datasets and modern ML workflows.
• Tokenization, vocab design, transfer learning, bias mitigation.
• Python and DL frameworks such as PyTorch or JAX.
• Independent, capable of leading research and delivering results in a fast startup.

🎁 Benefits

• Competitive compensation package.
• Meaningful equity in an early-stage, high-growth company.
• Ownership over research direction and technical decisions.
• Balance academic research with real-world production impact.
• Access to large-scale multilingual datasets and modern AI infra.
• Opportunity to publish at leading AI/NLP conferences and contribute to open source.