Red Team Lead, Offensive Cybersecurity

Shape next-generation AI systems with practical offensive-security expertise. As a Red Team Lead, you will turn real-world cybersecurity knowledge into high-quality task frameworks, evaluations, and feedback that improve how AI systems reason about security scenarios. Prior AI experience is not required. Key Responsibilities

• Develop comprehensive taxonomies for cyber-capability tasks and attack stages relevant to current threat landscapes.
• Design and validate offensive-security evaluation frameworks using realistic scenarios involving exploit chains, malware, cloud and application security, and social engineering.
• Create safe proxy tasks that model advanced attack vectors while maintaining strict ethical and security boundaries.
• Develop scoring rubrics that evaluate attack sophistication, coverage, and impact across domains.
• Review and improve red-team benchmarks to reflect evolving security risks and leading practices.
• Produce clear methodologies and technical documentation for technical and non-technical audiences.
• Collaborate asynchronously with project stakeholders, incorporating feedback into deliverables.

• At least 5 years of hands-on experience in offensive cybersecurity, red teaming, exploit development, or vulnerability research. Senior contributors with 8 to 20 years of experience are preferred.
• Experience as a principal security engineer, exploit developer, cloud red-team lead, malware reverse engineer, or security researcher focused on attack chains or social engineering.
• Deep knowledge of cyberattack methodologies, exploit chains, and cloud or application-security assessments.
• Strong background in malware analysis, reverse engineering, social-engineering tactics, or related defenses.
• Ability to communicate actionable technical concepts clearly in writing and verbally for varied audiences.
• An advanced degree, relevant security certifications, or equivalent operational experience is highly valued.
• Experience building cybersecurity benchmarking or evaluation frameworks is a plus.

• Remote contract engagement.
• Work focuses on a critical cybersecurity project and training AI systems through domain-expert input.

• $50 to $90 per hour.