AI Jailbreak & Prompt-Injection Security Expert - poste à distance

L'entreprise recrute : AI Jailbreak & Prompt-Injection Security Expert. Le poste relève de la catégorie IT et développement et se fait entièrement à distance. Aucune restriction n'est posée sur le lieu de résidence du candidat, vous pouvez donc postuler de partout.

L'annonce met en avant Machine Learning : c'est l'expérience de cet outil précis qui fera la différence.

L'entreprise a publié la rémunération : $50 - $90 par heure. L'annonce ne pose aucune condition d'horaires.

Cette offre a passé un contrôle automatique : les annonces qui exigent un permis de travail étranger, un parrainage de visa, une nationalité précise ou une résidence dans un pays nommé n'entrent pas dans la liste.

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.

Originally posted on Himalayas