An older role: first posted 42d ago, and AI expert network still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.
What the work is
Evaluate the quality, fidelity, and completeness of vulnerability-reproduction and remediation tasks used to train and evaluate a frontier AI lab's models. You'll assess whether CVE reproductions are faithful, fixes are sound, verification logic is rigorous, and Docker-based lab environments accurately recreate exploitable conditions — and provide clear, rubric-based written feedback.
Basic Qualifications
- 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
Preferred Qualifications
- OSCP, GPEN, GWAPT, or equivalent offensive-security certification
- Experience with CVE disclosure, responsible vulnerability reporting, or maintaining exploit proof-of-concept code
- Background in DevSecOps, CI/CD security gating, or SAST/DAST tooling
- Prior technical content review, assessment design, or QA for security-focused engineering tasks
Pay
$70–90/hr, fully remote.