Help train AI systems for cybersecurity by evaluating security content and contributing security-focused technical work.

Review AI-generated cybersecurity materials for real-world accuracy and validity, including threat analysis, vulnerability assessments, and offensive security techniques
Create and solve security-focused technical problems used to train AI models
Produce clear technical explanations and security-relevant code
Provide feedback that directly influences the next generation of AI security model reasoning

2+ years of hands-on cybersecurity experience (examples: penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent work), including government or military cyber operations
Some coding experience required; comfortable navigating and patching a codebase
English fluency (native or bilingual) with strong writing skills
Bachelor’s degree preferred
Cybersecurity certifications are a plus, such as OSCP, CRTO, GREM, GCFA, CEH, and similar

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose which projects you take on and when you work, using your own computer at home
Competitive pay: paid hourly at $50 to $100 USD per hour
Impact: help shape cybersecurity-focused AI technologies

Location: Stanford, CA (remote) | Job type: Contract

Application Security Engineer - AI Trainer

Job Description