Terac · Software & coding
Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation
Listed on Terac as “Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation”
How this rate compares
This listing
$150 per hour
Typical in Software & coding
$70–$120 per hour
Above the typical range
Typical: the middle of the lowest and highest rates posted by 38 listings in this category on Seoulstart, in US dollars.
What this actually is
You review AI-generated code, rank model outputs against each other, write prompts that test edge cases, and provide expert feedback that gets used to train coding models. Not shipping production software. The platform title (Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation) reflects the rate band and the expertise required, not the day-to-day work.
Can you do this on your visa?
F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.
Korean tax on USD income
First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.
Original posting from Terac
Work location: Remote
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.
Quoted from Terac's public listing on 2026-11-13. We don't edit platform copy; honest framing is in the title and the “what this actually is” block above.
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About Terac
Pays experts and everyday users for AI evaluation, model review, transcription, voice recording and data annotation projects, plus paid research studies. Each opportunity lists its hourly rate and who it is looking for. Fully online.
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