Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation
- Pay
- $150 per hour
- Location
- Remote (US)
- Listed
- Yesterday
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.
What You'll 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
Who Should Apply
- 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
- COMPENSATION $150 per hour
- READY TO PARTICIPATE?
- Start your paid interview now
About Terac
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.
From Terac's careers page, first listed on Rolev.ai on November 9, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation role at Terac?
The Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation posting at Terac states compensation of $150 per hour. Final pay may depend on location, experience, and interview evaluation on Terac's official career site.
Where is the Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation job at Terac located?
Yes, this Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation opening at Terac is listed as Remote (US). Always check Terac's application page for specific state eligibility or relocation policies.
How do I apply for the Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation position at Terac?
This listing links directly to Terac's Ashby application page. You can apply directly on Terac's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.