AI Researcher – Multilingual Data
Tasks
- Build and refine multilingual evaluation benchmarks
- Collaborate on training pipelines and model architectures
- Collect and filter multilingual data
- Deduplicate and assess dataset quality
- Design multilingual dataset research
- Develop low resource sampling and data augmentation strategies
- Improve cross lingual transfer and alignment for multilingual large language models
- Publish research findings
- Translate research results into production ready improvements
Perks/Benefits
- Access to large-scale datasets
- Access to modern AI infrastructure
- Collaborative research environment
- Conference publication opportunity
- Continuous learning
- Equity opportunity
- Open source contribution opportunity
- Rapid experimentation cycles
- Research ownership
Skills/Tech-stack
Alignment | Artificial Intelligence | Bias Mitigation | Cross-lingual Transfer | Curriculum learning | Data Augmentation | Data Filtering | Dataset Quality Assessment | Dataset quality | Evaluation & benchmarking | JAX | Language Processing | Language model training | Large Language Model | Large language model training | Machine Learning | Model Training | Multilingual Tokenization | Multilingual datasets | Natural Language | Natural Language Processing | Open Source | PyTorch | Python | Quality Assessment | Representation Learning | Robustness | Transfer Learning
Education
N/A
Roles
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