Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation
Terac$150/hrUnited StatesRemote in United StatesContractPosted 1d agoStill open, checked every nightSpaceJobs.Now is free for job seekers. Some links here pay us: a staffing agency, shift app, training program, course or store may pay us when you join or buy through our link, and a job ad network pays us when you click or apply to a job it carries (we mark those as sponsored or say so beside Apply). A job whose link pays us can be shown higher in a list. None of this costs you anything or changes what you are paid, and no employer can buy a spot or a featured place here.
About the job
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 .
Where you can work from
This job is 100% remote, for applicants who live in the United States.
From Terac's job posting, checked 10 Nov 2026. The employer's own page is the final word on requirements and availability. This is work on AI systems for an AI company, not for a space employer: never share export-controlled or proprietary technical data in a task, an application or an interview.
About Terac
Paid studies and AI-training tasks for verified experts, each showing its pay before you accept.
How it pays: Approved work is credited to your Terac balance in US dollars and cashed out through its payout partner Whop, from $12.50 to $10,000 a day, or through Virtual Incentives where Whop cannot pay (its payment docs, 29 Oct 2026).
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