Terac · via Terac

Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation

Remote, worldwide · Contract · Posted Nov 9, 2026 · Still listed Nov 10, 2026 · $150/hr

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Posted by Terac. Annotation Academy is not the employer; apply on Terac's site.

What We're Researching

We're hiring offensive cybersecurity experts for a long-term paid project focused on AI evaluation. Our goal is to build and harden reinforcement learning environments that test the limits of frontier AI models. This work directly contributes to understanding and mitigating advanced security risks in emerging technologies.

How It Works

You will work remotely on an hourly basis to design and implement complex cybersecurity benchmarks. Your tasks will involve creating robust reinforcement learning environments tailored for offensive security scenarios. You will continuously harden these environments to ensure they provide rigorous evaluations for AI systems. The project requires ongoing collaboration and iterative development to keep pace with new vulnerabilities.

Who This Is For

We welcome offensive cybersecurity engineers, penetration testers, and security researchers with strong technical backgrounds. Ideal candidates have hands-on experience building secure environments or developing security benchmarks. Familiarity with reinforcement learning or AI evaluation frameworks is highly valued but not strictly required.

Listing sourced from Terac. Annotation Academy is independent of these platforms and does not guarantee work or pay. See our disclosures.