Senior AI Security Tutor (Penetration Testing Instructor)

MindFort AI is looking for experienced penetration testers to help train and shape our next-generation AI security systems. Your role is to teach, guide, and correct an LLM so it learns to think and operate like a seasoned offensive security engineer. You’ll translate your real-world testing instincts into structured demonstrations, critiques, and step-by-step reasoning that strengthen the AI’s ability to find, explain, and remediate vulnerabilities.

You’re a strong fit if you:

• Are located in the United States.
• Bring a deep foundation in Computer Science, Cybersecurity, or equivalent experience.
• Have 6+ years of offensive security or penetration testing work across web apps, infrastructure, cloud, or mixed environments.
• Know the core frameworks and tooling inside out (OWASP, MITRE ATT&CK, Burp Suite, nmap, Metasploit, custom scripts).
• Have experience designing attack scenarios, threat models, and red-team style workflows, ideally with exposure to AI/ML systems.
• Are comfortable breaking down complex exploitation chains into clear reasoning an AI can learn from.
• Communicate cleanly and precisely in writing, with an emphasis on clarity of risk, root cause, and mitigation.
• Work with discipline, documenting your process as you go.

What you’ll do:

• Teach and correct an LLM through structured examples of real penetration testing methodology.
• Help the AI understand reconnaissance, exploitation, validation, and reporting at a professional level.
• Provide expert feedback to improve accuracy, depth, and security-focused reasoning.
• Collaborate directly with our applied AI engineering team and CTO as we refine training loops.

Logistics:

• Applications are reviewed on a rolling basis.
• Up to 40 hours of work per week; minimum commitment of 10 hours weekly.
• Fully remote and asynchronous.
• Engagement length: approximately 1–3 months.

If you’re ready to help build an AI that can think like a world-class offensive security engineer, we’d love to talk.