About The Role If you've ever looked at a system and immediately started thinking about how to break it — this role was made for you. We're looking for security-minded professionals to stress-test AI systems, expose their weaknesses, and help build the next generation of safe, reliable AI. This is a fully remote, flexible contract role where your findings directly shape how AI behaves in the real world. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design and execute red-teaming exercises to uncover security weaknesses in AI systems Craft adversarial prompts and edge-case scenarios to probe model guardrails and safety filters Evaluate AI outputs for unsafe behavior, bias, and policy violations Document vulnerabilities, exploits, and unexpected behaviors in clear, structured reports Collaborate with engineering teams to recommend practical mitigations and improvements Stay current on emerging AI security threats, jailbreak techniques, and adversarial research Help define and refine security evaluation rubrics and testing protocols Who You Are Strong understanding of cybersecurity concepts — threat modeling, penetration testing, or ethical hacking Hands-on experience with AI/ML systems, large language models, or prompt engineering Creative and analytical — you enjoy finding the edge cases others miss Excellent written communication and documentation skills Comfortable working independently in an asynchronous, task-based environment Familiarity with open-source AI platforms or LLM ecosystems is a plus Background in infosec, AI safety research, or adversarial ML is a bonus — but not required Why Join Us Work at the cutting edge of AI security alongside top research labs See your work directly improve the safety of AI products used by millions of people Full autonomy and a flexible schedule — work when and how you work best Build deep, marketable expertise in one of the fastest-growing fields in tech Ongoing contract potential with opportunities to expand scope and responsibility Be part of a global community of experts shaping the future of responsible AI