AI Researcher – Multilingual Data
Tasks
- Apply data augmentation techniques
- Assess and optimize data quality
- Build multilingual evaluation benchmarks
- Collaborate with machine learning engineers
- Collect multilingual data
- Contribute to open-source initiatives
- Design multilingual dataset research
- Develop low resource language sampling strategies
- Enhance cross lingual transfer
- Filter and deduplicate datasets
- Improve alignment and robustness
- Improve multilingual large language models
- Publish research findings
- Translate research into production improvements
- Use curriculum learning techniques
Perks/Benefits
- Access to large-scale datasets
- Access to modern AI infrastructure
- Continuous learning
- Equity opportunity
- Open Source contribution
- Ownership
- Research publication opportunity
Skills/Tech-stack
Artificial Intelligence | Bias Mitigation | Cross-lingual Transfer | Curriculum learning | Data Augmentation | Data Filtering | Data Quality | Data quality assessment | Dataset Deduplication | Evaluation benchmarks | JAX | Language Processing | Language model training | Large Language Model | Large language model training | Machine Learning | Model Alignment | Model Training | Multilingual Tokenization | Natural Language | Natural Language Processing | Open Source | PyTorch | Python | Quality Assessment | Representation Learning | Robustness | Transfer Learning
Education
N/A
Roles
AI | AI Researcher | Machine Learning Researcher | Researcher
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