Offensive Cybersecurity Engineer – RL Environments for AI Evaluation

Terac

. Design and build offensive cybersecurity reinforcement learning environments .

Posted 11/9/2026contractRemote • United StatesMid-LevelSenior💰 $150 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in offensive cybersecurity and penetration testing, with a strong focus on building and hardening secure environments for AI evaluations. Familiarity with reinforcement learning and AI safety is advantageous for developing rigorous evaluation criteria.

Highest-signal resume keywords

Offensive CybersecurityPenetration TestingSecure Environment HardeningAI SafetyReinforcement Learning Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Offensive CybersecurityPenetration TestingSecure Environment HardeningAI Model EvaluationReinforcement Learning

Soft Skills

CollaborationAdaptability

Industry Keywords

CybersecurityAI SafetyModel EvaluationTechnical Environments

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

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
Continuously develop and harden environments for rigorous AI-system evaluations

Requirements

What you’ll need

Professional experience in offensive cybersecurity or penetration testing
Strong technical background in building or hardening secure technical environments
Comfortable working on long-term hourly remote projects
Interest in AI safety and model evaluation
Familiarity with reinforcement learning or AI evaluation frameworks is valued but not strictly required

Benefits

Comp & perks

Paid project
Hourly compensation of $150 per hour
Long-term remote work arrangement