Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation

Terac; United States; Remote; USD 170,000 - 243,000; Full time

Benefits offered by this job

Remote work

Hourly pay

Long-term project

Job summary

Terac is hiring offensive cybersecurity experts to design and implement reinforcement learning-based benchmarks for AI evaluation. The role is remote and paid hourly, focusing on building hardening environments and evaluating frontier AI models.

Ideal candidates have hands-on experience with secure environments, security benchmarks, and a strong background in offensive security. Collaboration on a long-term hourly basis is required to iterate on evolving scenarios.

Qualifications

• Hands-on experience building secure environments or developing security benchmarks.
• Strong technical background in offensive cybersecurity or pentesting.
• Interest in AI safety and model evaluation is valued.

Responsibilities

• Design and build offensive cybersecurity reinforcement learning environments.
• Harden 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.

Skills

Offensive cybersecurity

Penetration testing

Security research

AI safety

Tools

Reinforcement learning

AI evaluation frameworks

Job description

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

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.

Learn more at terac.com or on YouTube at @jointerac.