As a Research Scientist focused on data, you'll work at the cutting edge of LLM development by designing the datasets that shape how frontier models behave. You'll partner directly with AI research teams to experiment with new data collection strategies, evaluate dataset quality, and uncover insights that improve alignment, safety, and model performance.
This is a research-driven, impact-heavy role: you'll have the opportunity to test ideas quickly in live production environments, shape data-centric methodologies for some of the world's top AI labs, and help define how high-quality data fuels the next generation of AI systems.
Deep Curiosity About Data – Obsession with understanding how the structure, quality, and selection of data influence LLM performance
Bias Toward Insight and Iteration – You think critically but move fast, designing lightweight experiments to generate actionable results
Desire to Shape AI Development – Drive to build the foundational data layer that defines how the next generation of AI systems behave
Research data collection strategies and designing high-impact data slices that uncover model failure modes
Model annotator behavior and designing experiments to optimize instruction clarity and reward signal reliability
Develop metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment
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