AI Researcher – Multilingual Data
Tasks
- Apply data augmentation and curriculum learning
- Assess dataset quality
- Build multilingual evaluation benchmarks
- Collaborate on training pipelines and model architectures
- Collect and filter multilingual data
- Contribute to open-source initiatives
- Deduplicate and optimize datasets
- Design multilingual dataset research
- Develop low resource language sampling strategies
- Improve model alignment and robustness
- Measure model quality across languages
- Publish research findings at AI conferences
- Research cross lingual transfer learning
- Train and evaluate multilingual large language models
- Translate research into production improvements
Perks/Benefits
- Access to large-scale datasets
- Collaborative research environment
- Conference publishing support
- Continuous learning
- Equity opportunity
- Open source contribution opportunity
- Ownership over research direction
- Publication opportunity
- Rapid experimentation cycles
Skills/Tech-stack
Artificial Intelligence | Bias Mitigation | Cross-lingual Transfer | Curriculum learning | Data Augmentation | Dataset Quality Assessment | Dataset quality | Evaluation benchmarks | JAX | Language Processing | Language model training | Large Language Model | Large language model training | Low Resource Languages | Machine Learning | Model Alignment | Model Training | Multilingual Tokenization | Natural Language | Natural Language Processing | PyTorch | Python | Quality Assessment | Representation Learning | Robustness | Transfer Learning
Education
N/A
Roles
AI | AI Researcher | Machine Learning Researcher | Researcher
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