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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the future of artificial intelligence as our AI Ethics Lead at Nexus Future Labs. As we approach 2026, this pivotal role demands visionary leadership to navigate the complex intersection of AI advancement and human values. You'll architect ethical frameworks that ensure our autonomous systems serve humanity responsibly while driving innovation.

We're seeking a trailblazer to establish governance protocols for generative AI, bias mitigation strategies, and transparent algorithmic decision-making. Join our multidisciplinary team of futurists, engineers, and policy experts to build AI systems that empower rather than displace, and that align with emerging global regulatory landscapes.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory forecasts
  • Conduct bias audits and ethical impact assessments for autonomous systems
  • Lead stakeholder engagement with policymakers, civil society, and industry consortiums
  • Design transparency protocols for explainable AI (XAI) deployment
  • Establish governance committees for ethical AI oversight
  • Create training programs for responsible AI development across engineering teams
  • Monitor emerging ethical risks in quantum computing and neural interfaces

Qualifications

  • PhD or Master's in Ethics, AI, Philosophy, or related technical field
  • 5+ years in AI governance or responsible technology development
  • Expertise in global AI ethics frameworks (EU AI Act, NIST RMF, OECD Principles)
  • Proven experience leading cross-functional ethical AI initiatives
  • Publishing record in AI ethics or technology policy journals
  • Deep understanding of 2026 AI technology forecasts (AGI, quantum computing)
  • Strong stakeholder management with regulators and industry coalitions

Required Skills

AI Ethics Governance Explainable AI Bias Mitigation Policy Development Stakeholder Engagement Regulatory Compliance Future Technology Forecasting

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