Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation

The role

You will design and build offensive cybersecurity reinforcement learning environments. You will also harden existing benchmarks and develop evaluation criteria for frontier AI models.

What you will do

• Design and build offensive cybersecurity reinforcement learning environments
• Harden existing benchmarks to withstand advanced AI interactions
• Develop rigorous evaluation criteria for frontier AI models
• Collaborate on a long-term hourly basis to iterate on security scenarios

Required qualifications

• Professional experience in offensive cybersecurity or penetration testing
• Strong background in building or hardening technical environments
• Comfortable working on long-term hourly remote projects
• Interest in AI safety and model evaluation

Nice to have

• Hands-on experience building secure environments or developing security benchmarks
• Familiarity with reinforcement learning or AI evaluation frameworks

Before you apply

• Start your paid interview now https://terac.com/interview/start/r/2d47648e-78c7-4b8c-b9d2-d1f1d4de98ba?utm_source=ashby_listing_description

About the company

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.