AI Researcher – Multilingual Data

📋 Description

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

🎯 Requirements

• Advanced background in NLP, ML, AI or related field.
• Proven multilingual/cross-lingual language modeling research with publications.
• Hands-on experience with large-scale multilingual datasets and ML workflows.
• Strong multilingual tokenization, vocabulary design, transfer learning, bias mitigation.
• Python and DL frameworks such as PyTorch or JAX.
• Independent, capable of leading research in a fast-moving startup environment.

🎁 Benefits

• Competitive compensation package.
• Meaningful equity opportunity within an early-stage, high-growth company.
• Significant ownership over research direction and technical decision-making.
• Balance academic research with real-world production impact.
• Access to large-scale multilingual datasets and modern AI infrastructure.
• Collaborative environment that values innovation and learning.
• Opportunity to publish at leading AI and NLP conferences.