Vulnerability Management Analyst for AI Training (Remote)

Alignerr Corp.; Atlanta (GA); Remote; USD 55,000 - 83,000; Full time

Job summary

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

You will analyze vulnerability reports, CVEs, and exposure scenarios across both infrastructure and application environments, helping to train AI systems to understand real-world risk and prioritize remediation effectively. You will classify severity and business impact, evaluate patching decisions, and generate data used to train models.

Qualifications

• 2+ years of experience in vulnerability management, security operations, or infrastructure security.
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (CVSS, EPSS, etc.).
• Understand the real-world tradeoffs between scanner output and actual exploitability.
• Analytical and structured in your thinking — you can explain why a risk matters, not just that it does.
• Self-motivated and comfortable working independently in an asynchronous environment.

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and application environments.
• Classify severity, exploitability, and business impact using real-world security reasoning.
• Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and practicality.
• Generate, label, and validate realistic security data used to train and evaluate AI models.
• Apply your hands-on experience to help AI distinguish between theoretical risk and what actually matters in production.

Skills

Vulnerability management

Security operations

Analytical thinking

Asynchronous work

Risk reasoning

Tools

Vulnerability scanners

Patch management workflows

CVSS/EPSS

Job description

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

You will analyze vulnerability reports, CVEs, and exposure scenarios across both infrastructure and application environments, helping to train AI systems to understand real-world risk and prioritize remediation effectively. You will classify severity and business impact, evaluate patching decisions, and generate data used to train models.