Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation
Terac • United States, Canada, United Kingdom, Israel, India, Australia, New Zealand
Education
Not stated
Type
Hourly
Pay
$150/hr
The rate in the listing.
Listed
Today
Checked
About this role
From the Terac listing
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.
Why this role
This Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation role pays $150/hr to review and correct AI work in STEM, using expertise you already have.
Talent pool
We're light on STEM candidates
We've tracked 1,033 STEM listings and have few candidates to put forward for them. Set up a profile and we'll consider you for roles like this one.
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Common questions
Is Terac legitimate?
Yes. Terac is a funded US marketplace whose clients are AI labs and market-research firms. It checks your identity and professional background before it matches you to paid work.
How does Terac decide who gets matched to this listing?
You do a short AI interview, an ID check and a test in your field, once. Terac then matches you to paid studies that fit your profile, and pays you after your submission is checked against the requirements.
Is this kind of AI-training work on Terac steady, or does it come and go?
It comes and goes. Terac opens listings like this when an AI lab asks for a batch of work, such as sorting data, writing coding tasks or creating expert problems, and closes them when the batch is done. Plan for it as gig income you qualify for each time.
Why does pay vary so much across Terac's AI-training listings?
Pay follows the expertise a task needs. General labeling pays a few dollars an hour, and work that needs a passed screening in your field, such as software engineering or STEM problems, can pay over $100 a task. Check the rate on this listing.
What does a typical day look like in expert AI training work?
Tasks are slow and careful. One task can take 45 to 60 minutes of checking citations or calculations, and you're judged on quality more than speed.
Is AI training work the same as traditional consulting?
It's closer to teaching. You grade the AI's logic, correct its mistakes and write the expert reasoning it lacks, instead of producing work for a client.
What does STEM work look like for an Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation?
You check AI answers to STEM questions, correct their errors and write expert reasoning. As an Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation, you're hired for that judgment, so hands-on STEM experience matters.
How much does this specific role pay?
This listing is posted at $150/hr, an hourly rate. Pay can change after we check the listing, so confirm the rate on the platform's application page.
What happens when I click Apply on this listing?
Apply opens Terac's site, where you create an account and follow its sign-up steps.
Can I apply from outside the United States, Canada, the United Kingdom and 4 other countries?
This role is open only to people based in the United States, Canada, the United Kingdom, Israel, India, Australia, and New Zealand. The limit is usually about where the platform can legally hire, so applying from elsewhere rarely leads to an offer. Check the description for tax or right-to-work rules before you apply, since they can differ by country.