Cybersecurity Expert at Turing

Cybersecurity Expert | Contractor | Fully Remote | 1-Month Engagement

Turing is seeking highly skilled Cybersecurity Experts to design and develop advanced evaluation tasks for frontier AI models. Working at the intersection of offensive security, defensive engineering, and AI evaluation, you will build reproducible environments and deterministic benchmarks grounded in real-world vulnerability classes.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing accelerates frontier research with high-quality data, advanced training pipelines, and top AI researchers — and helps enterprises transform AI from proof of concept into proprietary, measurable intelligence.

What You'll Do

• Design and develop multi-vulnerability (multi-CWE) codebases across languages such as Go, Python, Node.js, or Rust
• Create multi-stage attack chains by combining multiple vulnerability classes into realistic exploit scenarios
• Build deterministic evaluation frameworks using containerized environments and automated verification systems
• Write security test cases and exploit checks to ensure vulnerabilities are properly detected and mitigated
• Analyze AI model outputs and reasoning traces to identify failure points in security understanding
• Craft adversarial scenarios including misleading documentation, obfuscated code, and edge-case logic
• Balance real-world CVE-based scenarios with synthetic vulnerability classes for robust evaluation
• Ensure evaluation tasks are reproducible, scalable, and resistant to data contamination

Requirements

• 4+ years of experience in cybersecurity, application security, or vulnerability research
• Hands-on experience with vulnerability discovery (CVE exposure, bug bounty, red teaming, or CTFs) and secure code review
• Deep understanding of web security (authentication, sessions, OAuth, JWT), SSRF, injection attacks, cryptographic vulnerabilities, and filesystem vulnerabilities
• Experience building or using security tools such as SAST, fuzzing, or IAST
• Proficiency in at least two of the following: Go, Python, Node.js, Rust
• Familiarity with Docker, Linux internals, and automated testing frameworks (e.g., pytest)
• Ability to read and analyze obfuscated or minified code
• Strong analytical skills with a focus on attack chain reasoning

Engagement Details

• Commitment: 40 hours/week with 4-hour overlap with PST
• Type: Contractor assignment (no medical/paid leave)
• Duration: 1 month, starting next week

Evaluation Process

• Round 1: Technical Interview (60 minutes)
• Round 2: Delivery Interview (30–45 minutes)

Perks

• Fully remote work environment
• Opportunity to contribute to cutting-edge AI projects with leading LLM companies