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Open nowPosted 37 hours ago

🌍 AI Jailbreak & Prompt-Injection Security Expert, Remote- Contract

xperteez259 open roles

Where
International
Work mode
Remote
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Your applicationOpen now🌍 AI Jailbreak & Prompt-Injection Security Expert, Remote- Contractxperteez · International

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The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market. xperteez postings stay open a median of 4 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted 37 hours ago

xperteez median: 4 days open

The posting

Role Title: AI Jailbreak & Prompt-Injection Security Expert

Role Type: Contract

Location: Remote

Required Skills:

  • Ethical Jailbreaks
  • LLM Red Teaming
  • Prompt Injection
  • Tool-Use Abuse

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.
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