AI Security Specialist | $90/hr Remote

Crossing Hurdles; United States; Remote; GBP 51,000 - 93,000; Full time

Job summary

Crossing Hurdles is seeking an AI Security Specialist for a remote contract role. You will design and run advanced evaluation methods to probe AI safety, focusing on jailbreaks, red teaming, prompt injection, and tool abuse.

The position offers flexible 10–40 hours per week and involves cross-domain analysis and reporting to stakeholders. You will develop regression suites, create robust evaluation frameworks, and translate findings into practical improvements for model safety.

Qualifications

• Have strong relevant experience 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.
• Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

Responsibilities

• 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.

Job description

Position: AI Security Specialist | $90/hr Remote

Type: Contract

Compensation: $50 - $90/hour

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities

• 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.

Requirements

• Have strong relevant experience 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.
• Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.