Learning Commons
The Evaluator role at Learning Commons focuses on ensuring AI and education products are grounded in rigorous, research-backed evaluation by defining frameworks and developing metrics to assess quality and impact. This position involves designing experiments, analyzing data, and generating insights to inform product and research decisions while collaborating with cross-functional teams. The role sits at the intersection of data science, learning science, and AI system evaluation to support the scaling of proven learning science practices.
Learning Commons builds open AI infrastructure for education, offering products such as Knowledge Graph, Evaluators, Agent Skills, and Curriculum Sync. Their platform helps educators, edtech developers, and researchers connect learning science to AI-powered classroom tools. By providing open datasets, evaluation rubrics, and software libraries, Learning Commons aims to elevate educational excellence and serve the public good.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Learning Commons.
53% above the average for this role