AI Governance Research Intern

ExecLayer Inc. builds deterministic AI governance and enforcement infrastructure. We are not a think tank. We build the technical systems that enforce governance rules at the point of execution, with cryptographic proof. Our architecture is live, protected by six US provisional patents, and validated by published benchmarks on Zenodo. We hold technical expert seats on CEN-CENELEC JTC 21, ISO/IEC JTC 1/SC 42, and ASTM F45.

We are looking for a research intern to support our publication and standards submission pipeline. You will work directly with the founder. There is no middle management and no busywork.

Responsibilities:

Research and draft sections of governance white papers for publication on Zenodo, SSRN, and arXiv covering AI governance architecture, regulatory compliance, autonomous systems enforcement, and related topics.

Prepare technical submissions and position papers for international standards bodies including CEN-CENELEC JTC 21, ISO/IEC JTC 1/SC 42, and ASTM F45.

Conduct competitive landscape analysis across AI governance, AI safety, and compliance infrastructure markets.

Support the Governance Failure Radar newsletter with incident research, source verification, and forensic reporting.

Review and summarize academic papers, regulatory filings, and patent landscapes relevant to product positioning.

Requirements:

Currently enrolled in or recently completed a graduate program in law, public policy, computer science, information science, or a related field. Strong undergrad seniors considered.

Strong research and technical writing skills. You need to produce publication-ready material, not rough drafts.

Ability to read and synthesize across legal, engineering, and policy domains.

Self-directed and comfortable working asynchronously with minimal supervision.

Preferred:

Familiarity with the EU AI Act, NIST AI RMF, or ISO/IEC AI standards landscape.

Interest in or coursework covering AI governance, AI safety, or technology policy.

Experience with academic publishing workflows (Zenodo, SSRN, arXiv, citation management).

What you get:

Co-author credit on DOI-indexed research papers.

Direct experience contributing to international AI standards development.

Work directly with the founder. No layers between you and the decisions.

A real portfolio of shipped, published, and submitted work product. 

Important 

This is an unpaid internship. Candidates must be eligible to receive academic credit through their university for the duration of the internship. Please confirm with your school's career center or internship coordinator before applying. Once a qualified candidate is identified, ExecLayer Inc. will work directly with that student's university to establish a formal Academic Internship Agreement. Part-time, approximately 10-15 hours per week.