Vulnerability Management Analyst

Alignerr; Mumbai; Remote; INR 5,238,000 - 9,167,000; Part time

Job summary

Alignerr is seeking a Vulnerability Management Analyst to join a remote, hourly‑contract engagement focusing on training AI systems with real‑world security data. You will analyze CVEs, assess risk, and shape remediation workflows to improve AI reasoning about cybersecurity.

The role emphasizes practical risk reduction in production environments, collaboration across teams, and adaptable, asynchronous work habits. Prior experience with security tooling and vulnerability data is essential.

Qualifications

• 2+ years of hands‑on experience in vulnerability management, security operations, or infrastructure security.
• Solid understanding of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks.
• Able to articulate the real‑world tradeoffs between theoretical risk scores and operational impact.

Responsibilities

• Analyze vulnerability reports, CVEs, and real‑world exposure scenarios across infrastructure and applications.
• Assess severity, exploitability, business impact, and appropriate remediation strategies.
• Review and evaluate patching, mitigation, and risk prioritization decision‑making scenarios.
• Generate, label, and validate realistic security‑reasoning data used to train and benchmark AI systems.
• Apply your practical knowledge of what risk actually matters in production — not just theoretical CVSS scores.

Skills

Vulnerability management

Security operations

Written communication

Asynchronous work

Tools

Tenable

Qualys

Rapid7

Job description

Vulnerability Management Analyst (AI Training)

About The Role

We partner with the world's leading AI research teams to build smarter, more capable AI systems. Now we're looking for experienced security practitioners to bring real-world vulnerability management expertise to the frontier of AI development.

This isn't a typical analyst role. You'll apply your hands‑on knowledge of CVEs, exposure management, and remediation workflows to help train and evaluate AI systems — ensuring they reason about security risk the way seasoned professionals actually do.

If you've spent time in the trenches triaging vulnerabilities, managing patch cycles, or prioritizing what actually matters in production environments, your expertise is exactly what we need.

• 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
• Assess severity, exploitability, business impact, and appropriate remediation strategies
• Review and evaluate patching, mitigation, and risk prioritization decision‑making scenarios
• Generate, label, and validate realistic security‑reasoning data used to train and benchmark AI systems
• Apply your practical knowledge of what risk actually matters in production — not just theoretical CVSS scores

Who You Are

• 2+ years of hands‑on experience in vulnerability management, security operations, or infrastructure security
• Solid understanding of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks
• Able to articulate the real‑world tradeoffs between theoretical risk scores and operational impact
• A structured, analytical thinker who communicates clearly in writing
• Self-directed and comfortable working asynchronously on task‑based assignments

Nice to Have

• Experience with tools like Tenable, Qualys, Rapid7, or similar platforms
• Familiarity with frameworks such as CVSS, EPSS, CISA KEV, or NIST
• Background in cloud infrastructure, DevSecOps, or enterprise security operations
• Prior experience contributing to AI, data labeling, or research projects

Why Join Us

• Work directly on cutting‑edge AI projects with top‑tier research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful contribution to how AI reasons about cybersecurity
• Potential for ongoing work and contract extension