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4 days ago
This is a unique opportunity to drive high-quality data workflows and collaborate with annotation teams.
The successful candidate will automate pipelines, design experiments, and evaluate model performance using frameworks that incorporate human feedback.
- Key Responsibilities:
- Develop reliable, safe, and relevant training datasets through automated pipelines.
- Validate the quality of training data using proxy fine-tuning and reward modeling.
- Translate insights from model diagnostics into actionable recommendations.
- Strong foundation in Large Language Model training techniques.
- Proficiency in Python, PyTorch, Hugging Face, and related tooling.
- Self-motivated and consultative mindset for driving research and client success.
- Ability to analyze complex data and provide clear recommendations.
Benefits: This role offers an opportunity to work on mission-driven AI projects, pushing the boundaries of model reliability and shaping the future of data-centric AI.
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