Live opening · Posted 10 hours ago
At a glance
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About the role
Description supplied by the original job listing.
Vulnerability Management Analyst (AI Training)
About The Role
We're looking for experienced vulnerability management and security operations professionals to help train and evaluate cutting-edge AI systems. Your real-world expertise in how security teams discover, prioritize, and remediate risk is exactly what's needed to make AI smarter about cybersecurity.
This is a unique opportunity to apply your hands-on security knowledge to a high-impact project — without leaving your home office.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and applications
Classify severity, exploitability, and business impact using frameworks you already know
Review and evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and realism
Generate, label, and validate security-reasoning data used to train and benchmark AI systems
Apply your practical judgment on what actually matters in production environments — not just theoretical risk scores
Who You Are
2+ years of experience in vulnerability management, security operations, or infrastructure security
Solid understanding of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (CVSS, EPSS, etc.)
You know the difference between a critical CVE on paper and one that's actually exploitable in your environment
Clear, structured, and analytical communicator — you can explain your reasoning in writing
Self-motivated and comfortable working independently on task-based assignments
Nice to Have
Experience with exposure management platforms (Tenable, Qualys, Rapid7, Wiz, etc.)
Background in threat intelligence, red teaming, or cloud security
Familiarity with AI evaluation or data labeling workflows
Why Join Us
Work directly on frontier AI systems built in partnership with leading AI research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to work that shapes how AI reasons about real-world cybersecurity challenges
Potential for ongoing work and contract extension
Work arrangement
Yes
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