AI-Red-Team-Tester

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Beschreibung

Diese Rolle ist für Sie gemacht. Sie richtet sich an sicherheitsorientierte Fachkräfte, um AI-Systeme unter Druck zu testen, Schwachstellen aufzudecken und zur Entwicklung der nächsten Generation sicherer, zuverlässiger AI beizutragen. Es handelt sich um eine vollständig Remote, flexible Vertragsrolle, in der Ihre Erkenntnisse das Verhalten von AI in der realen Welt direkt beeinflussen
Standort: Remote
Einsatz: 10–40 Stunden/Woche

Design and execute red-teaming exercises to uncover security weaknesses in AI systems
Craft adversarial prompts and edge-case scenarios to probe model guardrails and safety filters
Evaluate AI outputs for unsafe behavior, bias, and policy violations
Document vulnerabilities, exploits, and unexpected behaviors in clear, structured reports
Collaborate with engineering teams to recommend practical mitigations and improvements
Stay current on emerging AI security threats, jailbreak techniques, and adversarial research
Help define and refine security evaluation rubrics and testing protocols

Strong understanding of cybersecurity concepts
threat modeling, penetration testing, or ethical hacking
Hands-on experience with AI/ML systems, large language models, or prompt engineering
Creative and analytical
you enjoy finding the edge cases others miss
Excellent written communication and documentation skills
Comfortable working independently in an asynchronous, task-based environment
Familiarity with open-source AI platforms or LLM ecosystems is a plus
Background in infosec, AI safety research, or adversarial ML is a bonus
but not required

Work at the cutting edge of AI security alongside top research labs
See your work directly improve the safety of AI products used by millions of people
Full autonomy and a flexible schedule
work when and how you work best
Build deep, marketable expertise in one of the fastest-growing fields in tech
Ongoing contract potential with opportunities to expand scope and responsibility
Be part of a global community of experts shaping the future of responsible AI

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