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2026 AI Ethics Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of shaping humanity's technological future. We're seeking a visionary 2026 AI Ethics Strategist to architect ethical frameworks for next-generation AI systems. This role combines philosophical rigor with practical implementation to ensure AI advances benefit humanity while mitigating existential risks. You'll collaborate with Nobel laureates, lead cross-functional ethics committees, and pioneer global standards that will define the next decade of AI development.

Our San Francisco hub offers unparalleled access to Silicon Valley's brightest minds while maintaining a culture of deep intellectual inquiry. We provide competitive compensation, unlimited learning stipends, and flexible arrangements for optimal impact. This isn't just a jobβ€”it's your chance to influence the trajectory of human-machine symbiosis.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous AI systems
  • Lead stakeholder dialogues between technologists, policymakers, and ethicists
  • Conduct scenario planning for AI existential risk mitigation strategies
  • Develop algorithmic bias detection protocols for next-gen neural networks
  • Author white papers shaping global AI ethics policy (UN/IEEE collaboration)
  • Mentor ethics specialists in emerging technology domains
  • Quantify ethical ROI for AI decision-making systems

Qualifications

  • PhD in Philosophy, AI Ethics, or related field with 5+ years applied experience
  • Published research in AI safety or existential risk mitigation
  • Expertise in utilitarian/deontological ethical frameworks applied to technology
  • Experience with large language model interpretability methods
  • Demonstrated ability to translate complex ethics into engineering requirements
  • Professional certification in AI governance (e.g., CAG, CAIG)
  • Portfolio of implemented ethical AI systems in production environments

Required Skills

AI Ethics Existential Risk Mitigation Algorithmic Governance Neural Network Interpretability Policy Development Philosophy of Technology Risk Quantification

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