Terac

Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation

Remote remote Mid $150 - $150
remote Mid level Technology & IT Salary listed Curated
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About the role

Headquarters: United States
URL: https://terac.com

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
 
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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.

To apply: https://weworkremotely.com/remote-jobs/terac-offensive-cybersecurity-engineers-build-rl-environments-for-ai-evaluation

Interview prep

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Mid
Technology & IT Remote Collaboration Mid level remote

Practice questions

  1. Tell us about work you have done that is close to the Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation role.
  2. How would you approach your first 30 days at Terac?
  3. Which of Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation role at Terac. My relevant experience is [your example], where I [your action] and achieved [your result].

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