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AI Jailbreak & Prompt-Injection Security Expert Jobs 2026 micro1 Remote

micro1

๐Ÿ“ Remote ๐Ÿ’ผ Contract ๐ŸŒ Remote ๐Ÿ’ฐ $50 - $90/hour ๐Ÿ“… 93 days left

Posted Jul 30, 2026

About the Job

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

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.

Job Details

Organizationmicro1
Role TitleAI Jailbreak & Prompt-Injection Security Expert
Role TypeContractor
LocationRemote
Pay$50 - $90/hour
Required SkillsEthical Jailbreaks, LLM Red Teaming, Prompt Injection, Tool-Use Abuse

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

  • 5+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain; 8-20 years preferred for senior contributors.
  • 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.

How to Apply

  • Apply online at: micro1 Job Portal
  • Complete the online application form including your LinkedIn profile URL and English resume (PDF).
  • After completing the interview process, you will be considered for this and other roles that match your skills.

How to Prepare for This Role

Strengthen AI Safety Evaluation

Review ethical jailbreaks, LLM red teaming, AI safety evaluation, and adversarial machine learning concepts relevant to this role.

Practice Prompt Injection Testing

Prepare examples of prompt injection, tool-use abuse, adversarial bypass patterns, and regression test suites for AI system robustness.

Document Security Findings Clearly

Practice writing clear reports and presentations that explain methodologies, findings, best practices, and actionable model safety improvements.

Refresh LLM Security Tools

Build familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools before applying.

Boost Your Career

Prepare for AI Security and LLM Red Teaming Roles

Build job-ready skills in AI safety, cybersecurity, prompt engineering, LLM red teaming, and adversarial machine learning before you apply.

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