AI Jailbreak & Prompt-Injection Security Expert

Micro1; India; Remote; INR 7,761,000 - 15,522,000; Part time

Job summary

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. No prior experience in AI is required — your domain knowledge is what matters.

Role Type: Contractor • Location: Remote • Scope: cross-domain safety evaluation with emphasis on adversarial prompts and risk mitigation.

Qualifications

• 2+ years of expertise in adversarial ML or related security domain.
• Proven experience researching or uncovering vulnerabilities related to ethical jailbreaks or prompt injection.
• Advanced degree (PhD/MS) or equivalent professional background in CS/Cybersecurity/ML.
• Strong written and verbal communication and documentation skills.

Responsibilities

• Design methodologies to evaluate AI safety, including jailbreaks and prompt injection.
• Create cross-domain elicitation strategies to uncover adversarial bypass patterns.
• Develop regression test suites for jailbreak susceptibility and prompt-injection vulnerabilities.
• Construct evaluation frameworks to stress-test models against real-world adversarial threats.
• Document findings and present actionable recommendations to stakeholders.

Skills

Adversarial ML

LLM red teaming

AI safety evaluation

Security domain

Documentation skills

Research communication

Education

Advanced degree or equivalent

Tools

Security assessment tools

Job description

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.