Adversarial AI Research Scientist (Red Team)

As an Adversarial AI Evaluation Scientist, you will design, analyze, and validate adversarial agent tasks: indirect prompt-injection (IPI), data-exfiltration, tool-misuse, and related attack scenarios. Ensuring each one is realistic, fair, reproducible, and correctly graded. You will author new attack scenarios and graders from scratch, pressure-test and review existing ones, and decide whether a scenario genuinely demonstrates a model vulnerability or merely an artifact of how the task was built. The role combines adversarial-security creativity with statistical analysis and LLM-assisted tooling to build strong attacks, find quality issues, analyze attack-success patterns, and recommend or automate improvements.

Responsibilities:

Create

Design and author adversarial agent tasks — IPI, data-exfiltration, tool-misuse, and related scenarios — including the threat model, attack surface, payload, and the deterministic grading logic