AI Jailbreak & Prompt-Injection Security Expert

Zekai; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Zekai is seeking a fully remote AI Jailbreak & Prompt-Injection Security Expert contractor to help harden AI systems against adversarial prompts and jailbreak attempts. You will design evaluation frameworks, run red-teaming exercises, and translate findings into actionable improvements.

The role emphasizes deep domain knowledge in AI safety, LLM architectures, and robust documentation, with global collaboration across disciplines and remote work allowed.

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.

Responsibilities

• 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.

Skills

Adversarial ML

LLM red teaming

AI safety evaluation

Security research

Documentation

Education

PhD or MS in CS/Cybersecurity/ML or equivalent

Tools

Security assessment tools

Open-source AI safety tools

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert

Role Type: Contractor

Location: Remote

our partner 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.

This is a 100% remote contract role, open to applicants worldwide in the countries the employer accepts.