AI Researcher – Multilingual Data

📋 Description

• Design and conduct multilingual dataset research (collection, filtering, quality).
• Develop strategies for low-resource languages using sampling, augmentation, and curriculum learning.
• Research and improve multilingual LLMs with cross-lingual transfer, alignment, robustness.
• Build, maintain, and refine multilingual evaluation benchmarks across languages.
• Collaborate with ML engineers to shape training pipelines and deployment strategies.
• Publish findings at AI/NLP conferences and contribute to open source initiatives when appropriate.

🎯 Requirements

• Advanced background in NLP, ML, AI or related field.
• Proven research in multilingual/cross-lingual modeling with publications at top venues.
• Hands-on experience with large-scale multilingual datasets and ML workflows.
• Strong multilingual tokenization, vocab design, transfer learning, and bias mitigation.
• Proficiency in Python and PyTorch or JAX.
• Ability to work independently and manage research in a fast-paced startup.

🎁 Benefits

• Competitive compensation package.
• Meaningful equity in an early-stage, high-growth company.
• Significant ownership over research direction and technical decisions.
• Balance academic research with real-world production impact.
• Access to large-scale multilingual datasets and modern AI infrastructure.
• Collaborative environment valuing innovation and continuous learning.