Senior Software Security Engineer - Pod Lead at Turing

Senior Software Security Engineer - Pod Lead | Remote | 3-month contractor engagement

About the role

Turing is an AGI infrastructure company that works with frontier AI labs on training data, evaluations, and engineering talent. They are hiring a Lead Software Security Engineer to lead a pod of trainers who develop high-quality training and evaluation tasks for frontier AI coding models, stepping in to perform tasks personally during high-volume periods.

You will transform real-world open-source vulnerabilities, including CVEs, security advisories, and bug reports, into Harbor-format audit-and-patch tasks across multiple programming languages. The work combines software security research, vulnerability reproduction, benchmark development, automated testing, and technical review, with the goal of creating realistic tasks that test whether AI systems can identify, understand, exploit, and securely remediate vulnerabilities without relying on superficial pattern matching or known patches.

What you will do day to day

• Plan task deliveries in batches, assign work across pod members, and track daily throughput against phase-specific targets.
• Monitor pod progress, identify bottlenecks, and keep tasks moving through each stage of production on schedule.
• Lead weekly client reporting, communicate delivery status, and raise risks early, including tooling issues, rate limits, safety blocks, and resource constraints.
• Collaborate with the client to clarify requirements and align on scope, task volume, and difficulty changes.
• Conduct final reviews of completed tasks against quality, security, reproducibility, and evaluation standards.
• Calibrate Pod Leads and trainers on CWE classification, verifier robustness, task difficulty, and acceptance criteria.
• Use throughput and quality data to forecast staffing needs, and start hiring and onboarding waves roughly three weeks ahead of projected capacity requirements.
• Maintain clear documentation of delivery plans, risks, quality findings, throughput metrics, and staffing forecasts.

Requirements

• 6+ years of professional software engineering experience.
• Expert-level proficiency in at least one of Python, JavaScript/TypeScript, Java, C/C++, C#, Go, Rust, Ruby, PHP, Kotlin, or Swift.
• Strong understanding of software security concepts, including CWE, CVE, and the OWASP Top 10.
• Ability to reproduce vulnerabilities and write proof-of-vulnerability tests.
• Hands-on experience with security tooling, including sanitizers, fuzzers, and static-analysis tools such as CodeQL or Semgrep.
• Strong proficiency with Git, Linux, Bash, and Docker.
• Excellent technical writing and documentation skills.
• Strong judgment on verifier robustness and on scoring AI patches, plus a clear, supportive communication style and some experience mentoring others.
• Ability to work independently in a fully remote, research-oriented environment.
• A proven track record on this project or equivalent security-dataset work.

Schedule and contract details

• 40 hours per week, including a 4-hour overlap with Pacific Standard Time (PST).
• Contractor assignment with no medical or paid leave.
• Duration: 3 months, with an expected start date next week.
• Pay rate is not specified in this listing.

Hiring process

• Round 1: AI interview (about 30 minutes).
• Round 2: Technical delivery interview (45 minutes).