AI Research Scientist

Colleague AI is hiring an AI Research Scientist to help advance the next generation of agentic AI systems for K–12 education. This role involves conducting applied research on large language models and AI agents, developing prototypes, and publishing findings to enhance educational technology.

Responsibilities:

• Lead applied research on LLMs, AI agents, evaluation systems, and educational AI
• Develop research prototypes that apply frontier AI-agent methods to K–12 teaching and learning workflows
• Design rigorous evaluation frameworks for AI tutoring, grading, lesson generation, classroom agents, and other educational use cases
• Build benchmarks and datasets that measure long-horizon agent behavior, feedback-driven learning, reliability, safety, and instructional quality
• Study how agents perform in realistic educational environments involving rubrics, standards, student work, teacher feedback, classroom context, and multi-step workflows
• Design experiments to measure model behavior, diagnose failures, compare approaches, and improve system performance
• Collaborate with engineering and product teams to turn promising research into production-ready features
• Publish research papers, technical reports, benchmarks, datasets, or open-source tools that establish Colleague AI as a thought leader in AI for education