We're looking for experienced security practitioners to help train and evaluate frontier AI systems using real-world vulnerability management scenarios. At Alignerr, we partner with the world's leading AI research labs — and your hands-on expertise in CVEs, exposure management, and remediation is exactly what's needed to make AI smarter about cybersecurity.
This is a unique opportunity to apply your security knowledge in a new and impactful direction, working flexibly on your own schedule.
Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and applications
Classify severity, exploitability, business impact, and appropriate remediation strategies
Review and evaluate patching, mitigation, and risk prioritization decision-making scenarios
Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems
Apply your practical knowledge of what actually matters in production environments — not just theoretical risk
Who You Are
2+ years of hands-on experience in vulnerability management, security operations, or infrastructure security
Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
Understands the real-world tradeoffs between theoretical severity and operational risk
Analytical and structured thinker who can communicate complex security reasoning clearly
Self-motivated and comfortable working independently on task-based assignments
Nice to Have
Experience with exposure management platforms (e.g., Tenable, Qualys, Rapid7)
Background in cloud security, application security, or threat intelligence
Familiarity with AI evaluation or data labeling workflows
Why Join Us
Work directly on frontier AI systems with top research labs
Fully remote and flexi