Security professionals probe AI models for prompt injection, data leakage and misuse, and recommend mitigations. Suits people with cybersecurity backgrounds who think in edge cases and failure modes.
About the role
AI / Emerging Tech Security Analyst (AI Training)
About the Role
What if your security expertise could directly influence how the world's most powerful AI systems defend against attacks, abuse, and misuse? We're looking for AI Security Analysts to probe frontier models, evaluate real-world threat scenarios, and help ensure that cutting-edge AI systems remain safe, reliable, and resilient.
This is a fully remote, flexible contract role built for security professionals who are curious about AI — and ready to work at the edge of where technology and risk intersect.
- Organization : Alignerr
- Type : Hourly Contract
- Location : Remote
- Commitment : 10–40 hours/week
- Commitment : 10–40 hours/week
- Analyze AI and LLM security scenarios to understand how models behave under adversarial or unexpected conditions
- Review and assess cases involving prompt injection, data leakage, model abuse, and system misuse
- Classify security vulnerabilities and recommend appropriate mitigations based on real-world impact and likelihood
- Apply security threat modeling frameworks to emerging AI technologies
- Evaluate AI system behavior and provide structured feedback to improve safety and alignment
- Work independently and asynchronously — fully on your own schedule
- Work independently and asynchronously — fully on your own schedule
- Background in cybersecurity, information security, or a related technical field
- Strong understanding of modern threat modeling, attack surfaces, and adversarial thinking
- Genuinely curious about how AI systems are built, deployed, and exploited
- Analytical and precise — you think in edge cases and failure modes
- Able to communicate complex risk assessments clearly and concisely in writing
- Self-motivated and reliable when working independently
- Self-motivated and reliable when working independently
- Hands-on experience with penetration testing, red teaming, or vulnerability research
- Familiarity with LLMs, prompt engineering, or AI safety concepts
- Background in application security, API security, or cloud security
- Experience evaluating or auditing AI/ML systems
- Relevant certifications (OSCP, CEH, CISSP, or similar)
- Relevant certifications (OSCP, CEH, CISSP, or similar)
- Work directly on frontier AI systems alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Contribute to AI safety work that has real-world impact at a critical moment in AI development
- Potential for ongoing work and contract extension as new projects launch
Official source: alignerr.com. Details can change; the platform's page is the final word. Something wrong with this listing? Tell us.
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