AI Jailbreak & Prompt-Injection Security Expert

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.