Offensive Cybersecurity Engineers: Build RL Environments for AI

Terac

United States

Remote

USD 170,000 - 243,000

Full time

3 days ago
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Benefits offered by this job

Remote work

Job summary

Terac is seeking professionals to design and build offensive cybersecurity reinforcement learning environments and harden benchmarks for advanced AI interactions. You will help develop rigorous evaluation criteria for frontier AI models and collaborate on long-term hourly remote projects.

Ideal candidates have hands-on offensive security or penetration testing experience and a strong background in building secure technical environments, with an interest in AI safety and model evaluation.

Qualifications

  • 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.

Responsibilities

  • 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.

Job description

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

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