Remote Vulnerability Management Analyst for AI Training

Alignerr Corp.; Spain; Remote; EUR 28,000 - 55,000; Full time

Job summary

Alignerr is seeking a Vulnerability Management Analyst (AI Training) for a remote hourly contract. You will analyze vulnerability data, classify risk, and help train AI models to reason about cybersecurity, shaping next-generation security tooling.

Ideal candidates have 2+ years in vulnerability management or security operations, familiarity with CVEs and risk scoring frameworks, and the ability to work independently on task-based assignments from a remote setting.

Qualifications

• 2+ years of hands-on 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).
• You understand the gap between theoretical risk scores and what actually matters in production environments.
• Clear, structured, and analytical communicator - comfortable articulating security reasoning in writing.
• Self-motivated and able to work independently on asynchronous task-based assignments.

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and application environments.
• Classify severity, exploitability, and business impact using industry-standard frameworks.
• Evaluate patching, mitigation, and remediation decision-making scenarios for real-world accuracy.
• Generate, label, and validate security-reasoning data used to train and benchmark AI models.
• Provide structured, expert feedback that helps AI systems think like experienced security practitioners.

Skills

Vulnerability management

Security operations

CVEs

Vulnerability scanners

Patch workflows

Risk frameworks

Technical communication

Tools

Tenable

Qualys

Rapid7

Job description

Alignerr is seeking a Vulnerability Management Analyst (AI Training) for a remote hourly contract. You will analyze vulnerability data, classify risk, and help train AI models to reason about cybersecurity, shaping next-generation security tooling.

Ideal candidates have 2+ years in vulnerability management or security operations, familiarity with CVEs and risk scoring frameworks, and the ability to work independently on task-based assignments from a remote setting.