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.
Skills Required
- Ethical jailbreaks
- LLM red teaming
- Prompt injection
- Tool-use abuse
- 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a related security domain
- Experience researching, testing, or uncovering vulnerabilities involving jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks
- Advanced degree in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent professional background
- Published research, open-source tools, conference presentations, or comparable recognition in AI security or adversarial machine learning
- Exceptional written and verbal communication skills
- Experience participating in multidisciplinary projects or cross-functional AI safety initiatives
- Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools
What We Do
Xperteez Technology is a business consulting and recruitment firm that bridges the gap between business needs and talent. The company specializes in providing IT consulting, digital marketing, and comprehensive recruitment solutions across various sectors, including BFSI, manufacturing, and e-commerce. They focus on connecting qualified job seekers with direct payroll opportunities at leading companies across India, emphasizing growth and technological excellence.
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