Vulnerability Management Analyst

Alignerr Corp.; Delhi; Remote; INR 5,184,000 - 10,368,000; Full time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr Corp. is seeking a Vulnerability Management Analyst (AI Training) to join our fully remote team. You’ll work with CVE data, vulnerability scanners, and remediation workflows to help train AI systems to reason about cybersecurity in real-world scenarios.

In this hourly contract role, you’ll analyze risk across infrastructure and applications, classify severity, and help prioritize fixes while maintaining clear written explanations for production teams. Remote, flexible hours.

Qualifications

• 2+ years in vulnerability management or security operations.
• Familiar with CVSS, EPSS, SSVC.
• Able to assess risk and tradeoffs.
• Strong written communication.

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and application environments.
• Classify severity, exploitability, business impact, and remediation strategies.
• Review patching, mitigation, and risk prioritization decisions.
• Generate and validate realistic security-reasoning data for AI training.
• Apply judgment to distinguish theoretical risk from production reality.

Skills

Vulnerability management

Security operations

Infrastructure security

CVEs

Vulnerability scanners

Patch management

Risk prioritization

AI data annotation

Tools

Tenable

Qualys

Rapid7

Job description

Vulnerability Management Analyst (AI Training)

We're partnering with the world's leading AI research labs to build smarter, more capable AI systems — and we need practitioners who know what real security work actually looks like.

If you've spent time in vulnerability management, security operations, or infrastructure security, this is a rare opportunity to apply that expertise in a new and impactful way. You'll work with realistic security scenarios, CVE data, and remediation workflows to help evaluate and improve how AI understands and reasons about cybersecurity.

About The Role

• 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, 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 real-world judgment to distinguish between theoretical risk and what actually matters in production

Who You Are

• 2+ years of hands-on experience in vulnerability management, security operations, or infrastructure security
• Solid familiarity with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
• Able to think clearly about tradeoffs between theoretical severity and operational risk
• Structured, analytical communicator who can explain security reasoning 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 cloud or containerized infrastructure security
• Background in threat intelligence, red teaming, or security engineering
• Prior exposure to AI evaluation or data annotation workflows

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
• Make a meaningful impact on how AI understands real-world cybersecurity
• Potential for ongoing work and contract extension