Adversarial AI Red Team Security Engineer
- business Talent Job Seeker
- directions_car Berlin
- workFull-time
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Red Team Specialist Type: Full-time or Part-time Contract Work Compensation: $56/hour Location: Remote ; Geography restricted to USA & Europe Role Responsibilities Evaluate AI models for vulnerabilities by conducting jailbreaks, prompt injections, and misuse cases. Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks. Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing. Document findings reproducibly by producing reports, datasets, and attack cases for customer action. Work independently and asynchronously to meet deadlines while improving AI model performance . Qualifications Must-Have Fluent Language Skills Required: Native-level fluency in English & German . Prior experience in red teaming, AI adversarial work , cybersecurity, or socio-technical probing. Strong communication skills to explain risks to technical and non-technical stakeholders. Preferred Experience with Adversarial ML techniques such as jailbreak datasets, prompt injection, RLHF/DPO attacks, and model extraction. Background in Cybersecurity including penetration testing, exploit development, and reverse engineering. Knowledge of socio-technical risk, harassment/disinfo probing, and abuse analysis. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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Job ID: 10498741 / Ref: 6b1ebbde364246d80e0ef5065e548a2f