AI Researcher – Multilingual Data
Tasks
- Apply curriculum learning
- Assess dataset quality
- Collaborate with machine learning engineers
- Collect multilingual data
- Contribute to open-source initiatives
- Design multilingual dataset research
- Develop multilingual evaluation benchmarks
- Develop sampling strategies for low resource languages
- Enhance cross lingual transfer
- Evaluate model quality across languages
- Filter and deduplicate datasets
- Implement data augmentation
- Improve model alignment
- Improve model robustness
- Improve multilingual large language models
- Optimize dataset quality
- Publish research findings
- Translate research into production improvements
Perks/Benefits
- Access to large-scale datasets
- Conference participation
- Continuous learning
- Equity opportunity
- Modern AI infrastructure
- Ownership
- Publishing opportunities
- Rapid experimentation cycles
Skills/Tech-stack
Alignment | Artificial Intelligence | Bias Mitigation | Cross-lingual Transfer | Curriculum learning | Data Augmentation | Data Filtering | Dataset Quality Assessment | Dataset quality | Deduplication | JAX | Language Models | Language Processing | Large Language Models | Low Resource Languages | Machine Learning | Machine Learning Workflows | Multilingual Tokenization | Natural Language | Natural Language Processing | Non Latin Scripts | Open Source | PyTorch | Python | Quality Assessment | Representation Learning | Robustness | Sampling strategies | Transfer Learning
Education
N/A
Roles
AI | AI Researcher | Machine Learning Researcher | Researcher
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