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Hiring now · posted today Tech Contract · Remote

AI Jailbreak & Prompt-Injection Security Expert

$50–$90/hr

Published pay. The final rate depends on your test, experience and country.

Remote · Worldwide 20 openings Language: English Posted 28 Oct 2026

About this role

Preparing for this role? See the best AI tools for security teams, practise with ready-made prompts for security teams, read How to Secure Enterprise AI Agents in 2026 and take the free 30-day AI challenge.

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.

Ethical JailbreaksLLM Red TeamingPrompt InjectionTool-Use Abuse

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What to know before you apply

Pay
At the published rate, 10 hours a week would be about $500–$900 and 20 hours about $1,000–$1,800 before tax. Hours depend on the project, so treat this as a ceiling, not a promise.
Openings
20 openings means this is a high-volume project. You are not competing for one seat: if you pass the test, there is room for you.
Location
Open worldwide in the countries the employer accepts. Payments usually go out through services like PayPal or Wise, so check one of them works in your country.
Credentials
The listing asks for a PhD, 2+ years of experience. Put it in the first line of your profile: reviewers screen for it before anything else.
Timing
This listing is new today. Projects can close once they have enough people, so it is worth applying while it is open.
Test tips for security teams
  • Judge AI security advice against real attack paths, not checklists.
  • Flag unsafe commands and missing input validation first.
  • Reference CVEs, CWE or OWASP categories when you correct.
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  2. 02

    Practise with real prompts

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    Generate agent spending limits policy

    Draft a corporate cybersecurity policy defining strict spending limits and execution boundaries for autonomous AI agents. Specify maximum daily token consumption, enforced budget caps per service account, mandatory fallback mecha…

    Audit agent tool permissions

    Review the following AI agent configuration file and list all attached API endpoints, system tools, and database privileges. Identify instances of over-privileged access or missing authorization checks, and propose a least-privil…

    Prompt library for security teams →
  3. 03

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