Vulnerability Management Analyst

Alignerr; United States; À distance; MXN 648 000 - 1 166 000; Temps partiel

Résumé du poste

Alignerr Corp. is seeking a Vulnerability Management Analyst (AI Training) for a remote hourly-contract role.

Candidates should bring 2+ years of hands-on vulnerability management or security operations experience and be able to assess CVEs, vulnerability scanners, and patching workflows. You will train AI systems by generating realistic security-reasoning data and provide structured feedback to help AI understand security tradeoffs.

Qualifications

• 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.
• You understand the gap between theoretical risk and what actually matters in a production environment.
• A clear, structured, and analytical communicator who can explain complex security decisions in writing.
• Self-motivated and comfortable working independently on task-based assignments.

Responsabilités

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and application environments.
• Classify severity, exploitability, and business impact using real-world judgment — not just CVSS scores.
• Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and practicality.
• Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems.
• Provide structured feedback that helps AI understand the tradeoffs security teams actually navigate.

Connaissances

Vulnerability management

Security operations

Hands-on experience

Structured communication

CVEs familiarity

Outils

Tenable

Qualys

Rapid7

Description du poste

Vulnerability Management Analyst (AI Training)

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, and business impact using real-world judgment — not just CVSS scores
• Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and practicality
• Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems
• Provide structured feedback that helps AI understand the tradeoffs security teams actually navigate

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
• You understand the gap between theoretical risk and what actually matters in a production environment
• A clear, structured, and analytical communicator who can explain complex security decisions in writing
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with tools like Tenable, Qualys, Rapid7, or similar platforms
• Familiarity with frameworks such as CVSS, EPSS, MITRE ATT&CK, or CISA KEV
• Background in cloud security, container security, or DevSecOps environments
• Prior involvement in AI, data labeling, or technical writing projects

Why Join Us

• Work directly on frontier AI systems built by the world's top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and meaningful global collaboration
• Apply your real-world security expertise to a genuinely novel and impactful challenge
• Potential for ongoing work and contract extension