• Job Description

  Req#: F1.F6D
  Description
  
  Alice is seeking a driven, detail-focused Senior Generative AI Researcher to take on a leading role within our US team. In this position, you will operate at the cutting edge of AI Safety and Trust & Safety, analyzing potential vulnerabilities and content safety risks across the newest wave of Generative AI tools.
  
  As a Senior Researcher, you won't just run tests, you will design robust testing methodologies, act as a core content expert to support the Program Lead, and actively expand the team's internal knowledge base. You will partner closely with cross-functional teams and external stakeholders to secure models across multiple modalities, including LLMs, Text-to-Image, Text-to-Video, and AI Agents.
  
  Key Responsibilities
  
  Methodology & Strategy
  
  
  • Architect rigorous, scalable testing methodologies and red-teaming frameworks to evaluate foundational models, multimodal systems, and AI agents.
  • Develop sophisticated prompt strategies across diverse risk domains (e.g., Hate Speech, Misinformation, IP & Copyright infringement, Child Safety) to expose complex model vulnerabilities.
  • Conduct ongoing research into emerging jailbreak tactics, prompt injection techniques, and novel circumvention strategies used against foundational safety measures.
  
  Subject-Matter Expertise
  
  
  • Serve as a trusted content and domain expert, providing deep technical and policy insight to support the Program Lead in scoping projects, assessing risks, and driving strategy.
  • Lead efforts to continuously document, synthesize, and expand Alice's internal AI Safety knowledge base, standardizing best practices, taxonomies, and research findings across the team.
  • Mentor junior analysts, foster a culture of continual learning, and elevate the team's analytical standards.
  
  Operational Excellence
  
  
  • Own engagement lifecycles from initial planning and methodology design through execution, quality assurance (QA), and final delivery.
  • Oversee complex, multi-language datasets across multiple areas of abuse, ensuring the highest precision, accuracy, and output quality.
  • Partner effectively with engineering, product, policy, and client-facing teams to communicate research findings and inform mitigation strategies.
  
  Requirements
  
  Must-Have
  
  
  • 5+ years of experience in AI Safety, Responsible AI, Trust & Safety, or aligned research domains.
  • Proven expertise in research design and building qualitative or quantitative evaluation methodologies for GenAI.
  • Strong domain expertise in content risks (e.g., toxicity, copyright, misinformation, safety policy violations).
  • Track record of project ownership, leading deliverables end-to-end with high attention to detail in fast-paced, variable environments.
  • Deep familiarity with modern Generative AI architectures, prompt engineering, red-teaming, and AI agents.
  • Strong communication skills to act as a core subject-matter contact for program leads, internal teams, and clients.
  
  Nice-to-Have
  
  
  • Proven track record of published research in academia, industry whitepapers, or a research institute.
  • Hands-on experience evaluating multimodal systems (Text-to-Image, Text-to-Video, Audio).
  • Experience mentoring, leading, or QAing the work of junior analysts and researchers.
  
  
  The salary range for this role is $105K - $115K OTE - Range may vary based on experience. Salary at the time of offer will be commensurate with experience.
  
  About Alice
  
  Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines.
  
  In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

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