Colleague AI is hiring an AI Research Engineer to help advance the next generation of AI systems for K–12 education. This role involves applying advanced AI methods to educational workflows and conducting research to develop high-quality AI applications that enhance learning environments.
Responsibilities:
- Apply frontier AI-agent methods to K–12 teaching and learning workflows
- Lead applied research on LLMs, AI agents, evaluation systems, and educational AI
- Design rigorous evaluation frameworks for AI tutoring, grading, lesson generation, classroom agents, and other educational use cases
- Design experiments to measure model behavior, diagnose failures, compare approaches, and improve system performance
- Build benchmarks and datasets that measure long-horizon agent behavior, feedback-driven learning, reliability, safety, and instructional quality
- Collaborate with engineering and product teams to turn prototypes into production-ready features
- Stay current with advances in LLMs, agentic AI, retrieval-augmented generation, evaluation methods, synthetic data, and AI safety
- Publish research papers, technical reports, benchmarks, datasets, or open-source tools that establish Colleague AI as a thought leader in AI for education