Offensive Cybersecurity Engineers: Build RL Environments for AI
Quick facts
- Pay
- $150 per task
- Type
- Contract
- Location
- Remote
- Platform
- Terac — 58 open jobs
- Typical pay at Terac
- $60–420/hour · median $85 (3 jobs on our site)
- Payout
- Bank transfer, Whop, Virtual Incentives (on demand (project work on project schedule, e.g. weekly) · min $12.50)
- Apply
- Free to apply — never pay to get AI training work
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
Contract & Payment Terms
You will be engaged as an independent contractor. This is a fully remote opportunity that can be completed on your own schedule. Opportunities can be extended, shortened, or concluded early depending on needs and performance. Your participation will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are processed weekly based on services rendered. We are unable to support H1-B or STEM OPT candidates at this time.
Pay: $150
Terac posts paid expert studies and data-annotation tasks for teams building AI. Opportunities range from short professional surveys and interviews to longer annotation projects.