Terac

Offensive Cybersecurity Engineers: Build RL Environments for AI Evaluation

Terac
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3 days ago
Remote, United StatesSenior

Responsibilities

  • Design and build offensive cybersecurity reinforcement-learning environments.
  • Harden existing benchmarks against advanced AI interactions.
  • Develop rigorous evaluation criteria for frontier AI models.
  • Collaborate on a long-term project to iterate on offensive-security scenarios and address new vulnerabilities.

Requirements

  • Professional experience in offensive cybersecurity or penetration testing.
  • Strong technical experience building or hardening environments.
  • Interest in AI safety and model evaluation.
  • Familiarity with reinforcement learning or AI evaluation frameworks is preferred but not required.
  • Ability to work remotely on a long-term hourly project.

Benefits

  • Remote work arrangement.
  • Long-term paid project on an hourly basis.
  • Compensation of $150 per hour.

Categories

Terac

About Terac

51-200 employees

Terac builds an AI-driven research platform and API that connects companies to vetted human experts for participant sourcing, interviews, evaluation, and payouts. Product teams, researchers, and AI labs use it to recruit and compensate niche experts across industries and languages, with Terac handling verification and screening. Privately held and founded in 2025, the company is headquartered in San Francisco and operates as an expert-network marketplace for frontier research.

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