In this role, you will be responsible for designing, executing, and documenting advanced safety and adversarial evaluations to strengthen AI system reliability and security.

• Design and implement AI safety evaluation frameworks, including jailbreak testing, prompt injection detection, and tool-use abuse scenarios
• Develop adversarial red teaming strategies to identify multi-turn vulnerabilities and complex attack patterns in LLM-based systems
• Build and maintain regression test suites to continuously assess model safety, robustness, and failure modes
• Simulate real-world adversarial behaviors to evaluate system resilience across different use cases and domains
• Collaborate with engineering and research teams to translate findings into actionable safety improvements
• Document methodologies, test results, and insights in clear technical reports for both technical and non-technical audiences

Requirements:

We are looking for a technically strong and detail-oriented professional with hands-on experience in AI safety, adversarial ML, or LLM security, combined with strong communication and analytical skills.

• 2+ years of experience in AI Safety, LLM Red Teaming, Adversarial Machine Learning, or AI Security
• Hands-on experience identifying or testing vulnerabilities such as prompt injection, jailbreaks, or model exploitation techniques
• Strong understanding of LLM architectures, prompt engineering, and evaluation methodologies for AI systems
• Experience building structured testing frameworks, regression suites, or adversarial evaluation pipelines
• Ability to analyze complex system behavior and clearly communicate technical findings and risks
• Strong collaboration skills with experience working in cross-functional technical teams
• (Preferred) Advanced degree in Computer Science, AI, Cybersecurity, or related field
• (Preferred) Exposure to research, open-source contributions, or published work in AI safety or security domains

Benefits:

• Competitive contractor compensation: $50 – $90 per hour, based on experience
• Fully remote role with flexibility in working arrangements
• Opportunity to work on cutting-edge AI safety and LLM security challenges
• High-impact role influencing real-world AI system reliability and trustworthiness
• Exposure to advanced AI research, red teaming methodologies, and production-scale systems
• Collaborative, research-driven environment focused on innovation and technical excellence.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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