Cybersecurity Specialist — AI Safety Evaluation

Solumn AI builds the safety and assurance layer for frontier AI labs. We're looking for cybersecurity specialists to author sandboxed evaluation environments that measure — and help prevent — how AI agents behave on real security scenarios. All work is done in sealed, isolated sandboxes for safety research; this is AI red teaming and adversarial ML, not traditional application security or VAPT. Who this is for AI Security Engineer · LLM Security Engineer · AI Red Teamer · AI Safety Engineer · ML Security Engineer · Adversarial ML Researcher What you'll build Each task you author is a complete, Dockerized package: Agent-facing instruction that defines scope and deliverables without revealing the solution Containerized environment with the target system, dependencies, and tools, fully reproducible Deterministic verifier — a hidden grader that passes only on a genuine, replayable result and accepts alternative valid solutions Oracle solution — your own working solution that validates the task and demonstrates the intended behavior on the target model Focus areas Adversarial probing of agentic coding and security models · prompt injection and tool-call abuse · jailbreaks and model misuse · unsafe autonomous actions · data handling and scope-escape by agents · reward-hacking and eval-gaming detection · adversarial robustness and red-team methodology. You're a strong fit if you have Hands-on experience probing or evaluating LLMs and agentic systems — red teaming, jailbreak/prompt-injection research, adversarial ML, or AI safety evaluation A security mindset applied to AI systems specifically — you understand how agents fail, get manipulated, or game their objective The judgment to catch a result that passes illegitimately — a non-replayable result, a gamed verifier, or an agent that reached the answer the wrong way Comfort with Docker, Git, and writing a deterministic verifier Ability to read a multi-step agent trajectory and judge whether it genuinely succeeded How it works 100% remote · Paid per accepted task · Immediate start To apply Share one piece of relevant work — a red-team report, model evaluation, jailbreak/prompt-injection or adversarial-ML write-up — and briefly, what the weakness was and how you proved it. Include a link if you can.