AI Safety & Red Teaming Specialist at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

90.0

Posted On

04 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Safety, Red Teaming, Adversarial Machine Learning, LLM Security, Prompt Injection, Jailbreak Testing, Prompt Engineering, Security Evaluation Frameworks, Regression Testing, Technical Reporting, Vulnerability Assessment, AI Robustness

Industry

Internet Marketplace Platforms

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Safety & Red Teaming Specialist based in India. This role focuses on strengthening the safety, reliability, and resilience of next-generation AI systems through structured adversarial testing and evaluation. You will work at the intersection of AI security, large language models, and applied research to uncover vulnerabilities and improve system robustness. The environment is highly technical, fast-evolving, and deeply collaborative, involving close work with engineers and research teams. Your work will directly influence how AI systems respond to real-world adversarial scenarios. You will design and execute red teaming strategies that simulate malicious use cases, including prompt injection and jailbreak attempts. This is a high-impact opportunity for someone passionate about AI safety, ethical hacking, and building trustworthy AI systems at scale. \n Accountabilities: 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. \n How Jobgether works: 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? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Design and execute adversarial red teaming strategies to identify vulnerabilities like prompt injection and jailbreaks in LLM-based systems. Collaborate with research and engineering teams to translate these findings into actionable safety improvements and technical reports.