AI / Emerging Tech Security Analyst About the Role What if your security instincts could directly shape how the world's most advanced AI systems defend themselves against misuse, manipulation, and attack?
Vulnerability Management Analyst
Job description
Vulnerability Management Analyst (AI Training)
About the Role
We're partnering with the world's leading AI research labs to build smarter, more capable AI systems — and we need experienced security practitioners to make it happen. As a Vulnerability Management Analyst, you'll bring your real-world knowledge of CVEs, exposure management, and remediation workflows to help train and evaluate cutting-edge AI models.
This is a unique opportunity to do meaningful work at the intersection of cybersecurity and artificial intelligence — on your own schedule, from anywhere in the world.
- 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 application environments
- Classify severity, exploitability, and business impact using industry-standard frameworks
- Evaluate and validate patching, mitigation, and remediation decision-making scenarios
- Generate, label, and review realistic security-reasoning data used to train and benchmark AI systems
- Apply your practitioner instincts to help AI understand the difference between theoretical risk and what actually matters in production
Who You Are
- 2+ years of experience in vulnerability management, security operations, or infrastructure security
- Solid working knowledge of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
- Understand the real-world tradeoffs security teams face when managing and prioritizing risk at scale
- Analytical and structured thinker who can communicate complex security concepts clearly
- Self-motivated and comfortable working independently on asynchronous, task-based assignments
Nice to Have
- Experience with tools like Tenable, Qualys, Rapid7, or similar vulnerability management platforms
- Familiarity with cloud infrastructure security or container environments
- Background in threat intelligence, red teaming, or security engineering
- Prior experience contributing to AI training, data labeling, or technical evaluation projects
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
- Apply deep security expertise to a high-impact, emerging field
- Potential for ongoing work and contract extension
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