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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