Summary
Alignerr is seeking experienced security professionals to help train and evaluate cutting-edge AI systems with real-world vulnerability management knowledge. The role involves analyzing vulnerability reports, classifying risks, and generating security-reasoning data for AI systems.
Responsibilities
- 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
Skills
- 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
- 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
Qualifications
Must Haves
- 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 Haves
- 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
Benefits
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Potential for ongoing work and contract extension