Vulnerability Management Analyst

Alignerr Corp.; Chicago (IL); Remote; USD 55,000 - 103,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible scheduling

Job summary

Alignerr Corp. seeks a Vulnerability Management Analyst (AI Training) to analyze security data and help train AI systems. You will work on risk assessment, remediation strategies, and validation of data for AI benchmarking in a remote setting.

You will apply practical security expertise to real-world environments, interpreting CVEs and risk factors while shaping how AI reasons about production risk. This is a flexible hourly contract with part-time commitments.

Qualifications

• 2+ years of experience in vulnerability management or security operations.
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, DREAD).
• Structured, analytical thinker who can communicate reasoning clearly in writing.

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications.
• Classify severity, impact, exploitability, and remediation strategies.
• Review and evaluate patching, mitigation, and remediation decision-making scenarios.
• Generate, label, and validate security‑reasoning data for AI training and benchmarking.
• Apply real-world judgment to distinguish between theoretical risk and production impact.

Skills

Vulnerability management

Risk prioritization

Analytical thinking

Written communication

Independent work

Tools

Tenable

Qualys

Rapid7

Job description

Vulnerability Management Analyst (AI Training)

About The Role

We're looking for experienced security professionals to help train and evaluate cutting‑edge AI systems using real‑world vulnerability management knowledge. At Alignerr, we partner with the world's leading AI research labs — and we need practitioners who understand how risk actually works in production environments. This is your opportunity to go beyond the day‑to‑day of patch cycles and scanner outputs and directly influence how the next generation of AI reasons about security.

• 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 applications
• Classify severity, impact, exploitability, and appropriate remediation strategies
• Review and evaluate patching, mitigation, and remediation decision‑making scenarios
• Generate, label, and validate realistic security‑reasoning data used to train and benchmark AI systems
• Apply your real‑world judgment to help AI distinguish between theoretical risk and what actually matters in production

Who You Are

• 2+ years of experience in vulnerability management, security operations, or infrastructure security
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, DREAD)
• Comfortable making judgment calls on risk tradeoffs in complex, real‑world environments
• A structured, analytical thinker who can communicate reasoning clearly in writing
• Self‑motivated and reliable when working independently on asynchronous tasks

Nice to Have

• Experience with tools like Tenable, Qualys, Rapid7, or similar platforms
• Background in threat intelligence, red teaming, or cloud security
• Familiarity with compliance frameworks such as NIST, CIS, or SOC 2
• Prior experience contributing to AI training, data labeling, or security research

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
• Apply your specialized security expertise in a high‑impact, intellectually stimulating environment
• Potential for ongoing work and contract extension