AI Safety & Governance Full-time

Research Scientist in Scalable Oversight

Iliad

Posted

Sep 16, 2026

Location

Remote

Type

Full-time

Compensation

$100000 - $150000

Deadline

⏰ Jan 31, 2027

Mission

What you will drive

Conduct foundational AI safety research on debate-based oversight using computational complexity, graph theory, or game theory.
- Develop theory on scalable oversight and adversarial sensemaking within AI safety via Debate frameworks.
- Investigate judge-oracle complexity limits, graph properties for honest strategies, and equilibria stability in debate games.
- Hire team members, supervise mentees, and shape research direction for the Scalable Oversight group.
- Requires established research track record in computational complexity, algorithmic information, graph theory, or game theory.
- Requires rigorous thinking, research vision, and ability to set coherent research agendas in a small, fast-moving organization.

Profile

What makes you a great fit

Conduct foundational AI safety research on debate-based oversight using computational complexity, graph theory, or game theory.
- Develop theory on scalable oversight and adversarial sensemaking within AI safety via Debate frameworks.
- Investigate judge-oracle complexity limits, graph properties for honest strategies, and equilibria stability in debate games.
- Hire team members, supervise mentees, and shape research direction for the Scalable Oversight group.
- Requires established research track record in computational complexity, algorithmic information, graph theory, or game theory.
- Requires rigorous thinking, research vision, and ability to set coherent research agendas in a small, fast-moving organization.

About

Inside Iliad

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Iliad is an umbrella organization that advances applied mathematics research in AI alignment through conferences, research incubation, and fellowship programs.