AI Summary
Analyze vulnerability data to train AI systems. Classify risk and influence AI decision-making. Remote, flexible hours.
Key Highlights
Train AI systems using real-world vulnerability management knowledge
Classify severity, impact, and remediation strategies
Make judgment calls on risk tradeoffs in complex environments
Key Responsibilities
Analyze vulnerability reports, CVEs, and exposure scenarios
Classify severity, impact, exploitability, and remediation strategies
Review and evaluate patching, mitigation, and remediation decision-making scenarios
Generate, label, and validate realistic security-reasoning data for AI training and benchmarking
Technical Skills Required
Benefits & Perks
Fully remote and flexible work schedule
Work directly on frontier AI systems
Potential for ongoing work and contract extension
Nice to Have
Experience with vulnerability scanners (Tenable, Qualys, Rapid7)
Background in threat intelligence, red teaming, or cloud security
Familiarity with compliance frameworks (NIST, CIS, SOC 2)
Prior experience contributing to AI training, data labeling, or security research
Job Description
Vulnerability Management Analyst (AI Training)
About The Role
We're looking for experienced security professionals to help train and evaluate cutting-edge AI systems using real-world vulnerability management knowledge. At Alignerr, we partner with the world's leading AI research labs — and we need practitioners who understand how risk actually works in production environments.
This is your opportunity to go beyond the day-to-day of patch cycles and scanner outputs and directly influence how the next generation of AI reasons about security.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- 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 benchmark AI systems
- Apply your real-world judgment to help AI distinguish between theoretical risk and what actually matters in production
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- 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, DREAD)
- Comfortable making judgment calls on risk tradeoffs in complex, real-world environments
- A structured, analytical thinker who can communicate reasoning clearly in writing
- Self-motivated and reliable when working independently on asynchronous tasks
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience with tools like Tenable, Qualys, Rapid7, or similar platforms
- Background in threat intelligence, red teaming, or cloud security
- Familiarity with compliance frameworks such as NIST, CIS, or SOC 2
- Prior experience contributing to AI training, data labeling, or security research
- 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 your specialized security expertise in a high-impact, intellectually stimulating environment
- Potential for ongoing work and contract extension
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