Role OverviewEvaluate the quality, fidelity, and completeness of vulnerability-reproduction and remediation tasks for AI model training. Assess CVE reproductions for faithfulness and ensure fixes are sound. Verify rigorous logic and ensure Docker-based lab environments accurately recreate exploitable conditions.
What You Will Do
Work independently and asynchronously to meet deadlines while improving AI model performance. Collaborate with AI research teams to enhance training data quality and downstream performance. Provide clear, rubric-based written feedback to improve model outputs.
Why It Might Be a Fit
Must have 3+ years of hands-on experience in application security, penetration testing, or vulnerability research. Strong understanding of CVE vulnerability taxonomy and severity frameworks (CVSS, CWE, CAPEC). Demonstrated expertise in secure coding and remediation across common vulnerability classes.
Requirements
- 3+ years of hands-on experience in application security, penetration testing, or vulnerability research
- Strong understanding of CVE vulnerability taxonomy and severity frameworks (CVSS, CWE, CAPEC)
- Demonstrated expertise in secure coding and remediation across common vulnerability classes (SQL injection, command injection, buffer overflow, deserialization, SSRF, misconfigurations, privilege escalation)
- Experience designing or evaluating two-part verification logic (functionality tests + vulnerability tests)
- Proficiency with Docker and Docker Compose for multi-container vulnerability reproduction environments
Benefits
- Compensation: $70–$90/hour
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