What if your deep understanding of how attacks unfold could directly shape how AI reasons about cybersecurity threats? We're looking for experienced offensive security professionals to analyze adversarial behavior, map attack paths, and help train the next generation of AI systems to think like a skilled defender.
This role is built around structured adversarial reasoning — not exploit development. You'll work with realistic attack scenarios, red team narratives, and intrusion data to help AI understand where defenses break down, how threats propagate, and what risk actually looks like in production environments.
This is a fully remote, versátil contract role — no commute, no rigid schedule.
Analyze real-world attack paths, kill chains, and adversary strategies across modern environments
Identify and classify weaknesses, misconfigurations, and defensive gaps in realistic scenarios
Review red team-style intrusion narratives and evaluate how threats move through systems
Generate, label, and validate adversarial reasoning data used to train and evaluate AI models
Clearly articulate attack chains, business impact, and security tradeoffs in structured formats
Work independently and asynchronously — fully on your own schedule
Who You Are
2+ years of hands-on experience in pentesting, red teaming, or a blue-team role with strong offensive knowledge
Deep understanding of how real attacks unfold in production environments — not just theory
Able to think like an attacker and communicate complex attack logic clearly to a technical audience
Comfortable working without explicit tool usage or exploit development — this is about reasoning, not execution
Detail-oriented and systematic in how you document findings and reasoning
Self-motivated and reliable when working independently
Nice to Have
Familiarity with frameworks like MITRE ATT&CK;, Cyber Kill Ch