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About The Role AI systems are only as safe as the people who challenge them. We're looking for security-minded professionals to stress-test, probe, and harden AI systems before they reach millions of users. If you love finding flaws, thinking like an attacker, and making technology safer — this role was built for you. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Conduct red-teaming exercises to uncover security weaknesses in AI systems Craft adversarial prompts and edge-case scenarios to test model guardrails Evaluate AI outputs for safety issues, bias, and policy compliance Document vulnerabilities, unexpected behaviors, and exploits in structured reports Collaborate asynchronously with engineering teams to recommend mitigations Stay current on emerging AI security threats, jailbreak techniques, and best practices Help define and refine security evaluation rubrics and testing protocols Who You Are You have a solid understanding of cybersecurity concepts, threat modeling, or penetration testing You've worked with AI/ML systems, LLMs, or prompt engineering — or you're eager to learn You're a creative, analytical thinker who enjoys breaking things to make them better You communicate clearly and document findings in structured, professional formats You're comfortable working independently on asynchronous, task-based assignments Familiarity with open-source AI platforms or ethical hacking tools is a plus A background in infosec, ethical hacking, or AI safety research is a bonus — not a requirement Why Join Us Shape AI safety at scale — your work directly improves AI products used by millions of people Work at the frontier — collaborate with top research labs on cutting-edge AI security challenges Full flexibility — set your own hours and work from anywhere in the world Grow fast — build deep expertise in one of the fastest-growing and highest-demand domains in tech Ongoing opportunity — strong performers are considered for expanded scope and contract extensions Meaningful work — every vulnerability you find makes AI a little safer for everyone