AI Jailbreak & Prompt-Injection Security Expert

Requirements

• 2+ years of expertise in adversarial machine learning or AI safety evaluationMust
• Proven experience researching or uncovering vulnerabilities in ethical jailbreaks and prompt injection attacksMust
• Exceptional written and verbal communication skillsMust
• Advanced degree in computer science, cybersecurity, machine learning, or equivalent professional background
• Published research, open-source tools, or conference presentations in AI security or adversarial ML
• Experience with multi-disciplinary AI safety initiatives or cross-functional projects
• Familiarity with current LLM architectures and prompt engineering techniques
• Knowledge of security assessment tools for AI systems

What you'll do

• Design and implement methodologies for evaluating AI system safety, focusing on ethical jailbreaks and LLM red teaming
• Create cross-domain elicitation strategies to uncover adversarial bypass patterns in AI models
• Develop and maintain regression test suites for jailbreak susceptibility and prompt-injection vulnerabilities
• Construct evaluation frameworks to stress-test AI models against adversarial threats
• Collaborate with technical stakeholders to translate security findings into actionable improvements
• Document methodologies and findings in clear written reports and presentations

Keywords

About the role

Role Title: AI Jailbreak & Prompt-Injection Security Expert Role Type: Contractor Location: Remote micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios. • Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models. • Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities. • Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness. • Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation. • Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences. Preferred Qualifications • 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain • Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks. • Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background. • High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations. • Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving. • Prior participation in multi-disciplinary 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. Originally posted on Himalayas