About the role
Vulnerability Management Analyst (AI Training)
About The Role
We partner with the world's leading AI research labs to build smarter, safer AI systems — and we need real security practitioners to make it happen. As a Vulnerability Management Analyst, you'll bring your hands-on experience with CVEs, exposure data, and remediation workflows to help train and evaluate cutting-edge AI models on how security teams actually think and operate.
This is a unique opportunity to apply your domain expertise in a new way — shaping how the next generation of AI understands and reasons about real-world security risk.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications Classify severity, impact, exploitability, and appropriate remediation strategies Review and evaluate patching, mitigation, and remediation decision-making scenarios Generate, label, and validate realistic security-reasoning data used to train and improve AI systems Apply your real-world judgment to help AI distinguish between theoretical risk and what actually matters in production environments
Who You Are
2+ years of 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) You understand the nuance between a high CVSS score and an actual exploitable threat in the wild A structured, analytical thinker who can explain your reasoning clearly in writing Comfortable working independently on task-based assignments
Nice to Have
Experience with tools like Tenable, Qualys, Rapid7, or similar platforms Familiarity with cloud or container security vulnerability management Background in threat intelligence or security architecture Prior work in AI, data labeling, or technical content evaluation
Why Join Us
Work directly on frontier AI systems alongside top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Your security expertise creates lasting impact on how AI understands real-world risk Potential for ongoing work and contract extension
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About the role
Vulnerability Management Analyst (AI Training)
About The Role
We partner with the world's leading AI research labs to build smarter, safer AI systems — and we need real security practitioners to make it happen. As a Vulnerability Management Analyst, you'll bring your hands-on experience with CVEs, exposure data, and remediation workflows to help train and evaluate cutting-edge AI models on how security teams actually think and operate.
This is a unique opportunity to apply your domain expertise in a new way — shaping how the next generation of AI understands and reasons about real-world security risk.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications Classify severity, impact, exploitability, and appropriate remediation strategies Review and evaluate patching, mitigation, and remediation decision-making scenarios Generate, label, and validate realistic security-reasoning data used to train and improve AI systems Apply your real-world judgment to help AI distinguish between theoretical risk and what actually matters in production environments
Who You Are
2+ years of 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) You understand the nuance between a high CVSS score and an actual exploitable threat in the wild A structured, analytical thinker who can explain your reasoning clearly in writing Comfortable working independently on task-based assignments
Nice to Have
Experience with tools like Tenable, Qualys, Rapid7, or similar platforms Familiarity with cloud or container security vulnerability management Background in threat intelligence or security architecture Prior work in AI, data labeling, or technical content evaluation
Why Join Us
Work directly on frontier AI systems alongside top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Your security expertise creates lasting impact on how AI understands real-world risk Potential for ongoing work and contract extension