What if your ability to think like an adversary could directly shape how AI understands cybersecurity threats? We're looking for Offensive Security Analysts to analyze real-world attack paths, model adversary behavior, and help build the training data that powers next-generation AI security systems.
This isn't about writing exploits. It's about structured adversarial reasoning — mapping how threats move through systems, where defenses break down, and how risk propagates across modern environments. If you've spent years thinking offensively and can articulate attack chains with clarity and precision, this role is built for you.
This is a fully remote, versátil contract role with meaningful work at the frontier of AI development.
Analyze attack paths, kill chains, and adversary strategies across realistic, real-world system scenarios
Classify weaknesses, misconfigurations, and defensive gaps with structured, detailed reasoning
Review red-team-style scenarios and intrusion narratives for technical accuracy and completeness
Generate, label, and validate adversarial reasoning data used to train and evaluate AI systems
Clearly explain attack chains, potential impact, and tradeoff decisions in written form
Work independently and asynchronously on task-based assignments — on your own schedule
Who You Are
2+ years of hands-on experience in pentesting, red teaming, or a blue-team role with deep offensive knowledge
You understand how real attacks unfold in production environments — not just in theory
You can break down complex attack chains into clear, structured reasoning that non-specialists can follow
Detail-oriented and systematic — you think in terms of paths, dependencies, and failure modes
Strong written communicator who can document adversarial reasoning with precision
Nice to Have
Familiarity with frameworks like MITRE ATT&CK;, Cyber Kill C