Offensive Cybersecurity Engineer – RL Environments for AI Evaluation
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Job Description
Offensive cybersecurity engineers building and hardening reinforcement-learning environments. Evaluating frontier AI models for Terac, a platform connecting vetted experts with AI researchers and labs.
Responsibilities:
- 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
- Continuously develop and harden environments for rigorous AI-system evaluations
Requirements:
- Professional experience in offensive cybersecurity or penetration testing
- Strong technical background in building or hardening secure technical environments
- Comfortable working on long-term hourly remote projects
- Interest in AI safety and model evaluation
- Familiarity with reinforcement learning or AI evaluation frameworks is valued but not strictly required
Benefits:
- Paid project
- Hourly compensation of $150 per hour
- Long-term remote work arrangement
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