GenAI Analyst

ActiveFence is seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others.

Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs

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Responsibilitie

• s:Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in model
• s.Managing projects end-to-end, from initial planning and oversight through quality assurance to final deliver
• y.Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detai
• l.Ongoing investigation into new tactics for circumventing foundational models' safety measure
• s.Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolution
• s.Promoting a culture of knowledge exchange and continual learning within the tea

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Requiremen

ts:Must ha

• ve:Background in AI Safety and/or Responsible AI and/or AI Eth
• icsFamiliarity with recent Generative AI models and agents is essential, though direct technical experience is not a prerequisi
• te.Command of English at a near-native lev
• el.Attention to detail, organizational capabilities, and the capacity to juggle numerous tasks concurrent

ly.
Additional Wa

• nts:Experience with various model types (Text-to-Text, Text-to-Image) is desira
• ble.Prior experience with OSINT (Open Source Intelligence) will be considered an as
• set.A self-starter attitude, with the energy to excel in a fast-moving and variable environm