About Us

Surge was founded by former ML engineers to expand the frontiers of AI. We’re building a platform that powers leading AI groups, including OpenAI, Anthropic, Meta, and Google, by providing high-quality human feedback data to evaluate and train their models. Our product has been a “game-changer” for ML teams.

The Role

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.

What We’re Looking for

• 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

Examples of Work You Might Do

• Researching data selection strategies and designing high-impact data slices that uncover model failure modes
• Modeling annotator behavior and designing experiments to optimize instruction clarity and reward signal reliability
• Developing metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment

How to Apply

To apply, please email [email protected] with your background and interest in collaborating with Surge. Please include the name of the role you’re applying for in the subject line or email body. We welcome personal projects and writings!