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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Ethicist

Nexus Future Labs
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. As our Lead AI Ethicist, you'll architect governance frameworks for transformative AI systems while shaping industry standards. This pivotal role bridges cutting-edge technology with human-centered ethics, ensuring our innovations align with societal values. You'll collaborate with quantum computing researchers, neuroscientists, and policy experts to pioneer ethical AI solutions for 2026 and beyond. We offer competitive compensation, flexible work arrangements, and the opportunity to influence the next wave of technological advancement.

Responsibilities

  • Design and implement comprehensive AI ethics frameworks for autonomous systems and neural networks
  • Lead cross-functional ethics reviews of experimental AI projects including generative models and predictive analytics
  • Develop stakeholder engagement protocols for transparent AI deployment in sensitive domains
  • Conduct impact assessments for AI systems affecting healthcare, finance, and critical infrastructure
  • Advocate for ethical AI standards in industry coalitions and regulatory bodies
  • Mentor interdisciplinary teams on ethical AI development practices
  • Research emerging ethical challenges in quantum-AI convergence and neuromorphic computing

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Expertise in developing governance frameworks for large-scale AI deployments
  • Published research on algorithmic bias mitigation or explainable AI techniques
  • Experience working with regulatory bodies on AI policy development
  • Strong background in machine learning architectures and data privacy regulations
  • Exceptional communication skills for translating technical ethics concepts to diverse audiences
  • Proven ability to influence organizational culture toward responsible innovation
  • Familiarity with emerging technologies like federated learning and synthetic data generation

Required Skills

AI Ethics Governance Frameworks Machine Learning Algorithmic Auditing Policy Development Stakeholder Communication Explainable AI Regulatory Compliance

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