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Summer 2026 Internship Program

Summer 2026 Internship Program

The Berkman Klein Center’s Summer Internship Program gives participants the opportunity to become deeply embedded within the projects and work happening across the Center. Interns spend the summer months working side-by-side with Berkman Klein staff, faculty, and scholars to keep projects moving forward, learning along the way. Interns will make valuable contributions over the course of the summer, to a wide range of projects based on the Center’s needs and the intern’s skills.

Program Details

  • This program is for undergraduate, graduate students, and early career scholars residing within eligible states in the United States. Due to pay structures and systems at Harvard, applicants must reside in and work from one of the following US states for the duration of their employment: Connecticut, Georgia, Illinois, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Vermont, Virginia, and Washington State.
  • This program is hybrid. Some teams have a strong preference for interns who can work in person at our Cambridge, MA office, while others only require part of their time in-person participation. Review the internship description for the in-person and location expectations for each role.
  • Prospective interns should be available for the duration of the program, June 1st through mid August, with the end dates negotiable with the manager.
  • For summer 2026, students may apply to only one type of internship opportunity listed below. Applications are due by 11:59 PM ET on Sunday, March 22.

Information and Eligibility

  • The hourly wage for these positions is at the standard research assistant rate of $21/hour.
  • Expected start date is on June 1, 2026, and the expected end date is on or around mid-August.
  • Work may be part- or full-time depending on project needs and candidate availability.
  • Applicants must possess work authorization in the United States. We do not have the ability to provide authorization to work in the U.S. If you are an international student in the US, you must check with your host institution concerning your ability to use CPT/OPT in order to determine your eligibility.
  • Due to pay structures and systems at Harvard, applicants must reside in and work from one of the following US states for the duration of their employment: Connecticut, Georgia, Illinois, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Vermont, Virginia, and Washington State.
  • Applicants must possess readily available access to a computer and a reliable Internet connection.
  • Applicants otherwise employed or paid by Harvard are not eligible for intern roles, except in the case of active, full-time Harvard students. However, Harvard students who hold non-contingent roles at the University may not be eligible. Eligibility will be assessed at the hiring stage.
  • No other benefits are provided.
March 6Summer Internship Application Opens
March 22 @ 11:59 PM ETSummer Internship Applications are due
March 23-April 17BKC reviewers will assess applications & interview
April 21Applicants will be informed
June 1Internship Begins

To Apply

Applications will only be accepted through the application form. For applicants who would like to preview the application questions, they can be found here.

If you have questions about the application process or your eligibility, please refer to the FAQ. Questions not addressed in the FAQ can be directed to studentengagement@cyber.harvard.edu.

APPLY HERE


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Research Assistantships

Throughout the year, the Berkman Klein Center for Internet & Society welcomes students and others from all academic backgrounds to join us in our research as research assistants.

2026 Summer Internship Opportunities

Non-Technical - BKC AI Workstreams Intern

The Berkman Klein Center seeks research assistants in Summer 2026 to support work on machine learning and artificial intelligence. In the upcoming year, BKC will be diving further into projects related to the ethics and governance of artificial intelligence; agentic AI protocols and risk mitigations; AI interpretability;  battles for control of digital property; privacy frameworks; the roles of intermediaries within Internet architecture; and the useful and unobtrusive deployment of technology in education.

Tasks may include literature reviews of AI research, literature reviews, dataset creation, model evaluation, and drafting AI research papers. Projects which BKC will be exploring will focus on the following general thematic areas – 

  • Reconciling Expert AI Perspectives
  • Benchmarking Computational Systems Beyond Intelligence
  • Model Interpretability
  • Agentic AI Protocols and Risk Mitigations
  • AI’s Impact on the Human Experience

Qualifications:

  • Currently pursuing an undergraduate or graduate degree in a related field (computer science, policy, law or similar), or have relevant work experience
  • Strong writing and editing skills
  • Project management experience
  • Digital law/policy or technical experience is strongly favored 
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