About this role
Role Overview
Help strengthen next-generation AI systems by applying security expertise to realistic adversarial testing, safety evaluations, and actionable risk mitigation. This remote contract role focuses on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios. Prior AI experience is not required when you bring relevant domain expertise.
Key Responsibilities
- Design and implement advanced AI safety evaluation methods covering ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse.
- Create cross-domain elicitation strategies that identify multi-turn and complex adversarial bypass patterns.
- Develop, maintain, and update regression test suites for jailbreak susceptibility and prompt-injection vulnerabilities.
- Build evaluation frameworks that stress-test AI models against real-world adversarial threats and improve system robustness.
- Work with technical stakeholders to turn security findings into practical model-safety and risk-mitigation improvements.
- Document methodologies, findings, and best practices in clear reports and presentations for technical and non-technical audiences.
Qualifications
- At least 2 years of experience in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security field.
- Demonstrated work researching, testing, or identifying vulnerabilities involving ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
- An advanced degree, such as a PhD or MS, in computer science, cybersecurity, machine learning, or a related discipline, or equivalent professional or operational experience.
- Credibility within the AI security or adversarial ML community, such as published research, open-source tools, or conference presentations.
- Strong written and verbal communication skills, with an emphasis on clear documentation and collaborative problem-solving.
- Experience with multidisciplinary projects or cross-functional AI safety initiatives is a plus.
- Familiarity with current LLM architectures, prompt-engineering techniques, and security assessment tools is highly desirable.
Work Terms
- Remote contract engagement.
Compensation
- $50 to $90 per hour.