Technical - BKC AI Workstreams Intern
As AI systems are rapidly evolving from passive tools into autonomous agents that pursue goals, reshape environments, and interact with each other in ways we cannot yet measure, predict, or govern. Our ability to understand how these systems work internally, and to benchmark what actually matters about them, has not kept pace with their deployment into high-stakes domains. The Berkman Klein Center seeks research assistants in Summer 2026 to advance the Center's in-house, interdisciplinary AI research agenda to develop new technical methods and governance frameworks to address these rapidly approaching opportunities and risks.
Tasks may include activities such as literature reviews of AI research, software development, dataset creation, model training, model evaluation, and drafting AI research papers.
Qualifications:
- Currently pursuing an undergraduate or graduate degree in a related field (computer science, policy, law or similar), or have relevant work experience
- For technical applicants:
- AI experience beyond using a model through an API
- Software development experience
- Regular use of coding agents
- Strong writing and editing skills