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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

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

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking an AI Ethics Research Lead to shape responsible AI frameworks for quantum-entangled systems. Lead cross-functional teams in developing ethical protocols for autonomous decision-making algorithms while ensuring compliance with emerging global AI governance standards. Collaborate with quantum computing researchers to design bias-mitigation techniques for next-gen neural networks. This role offers unparalleled opportunities to influence the ethical backbone of humanity's digital future.

Responsibilities

  • Develop and implement ethical AI governance frameworks for quantum-enhanced systems
  • Lead cross-functional teams in auditing algorithmic bias and fairness metrics
  • Design compliance protocols for evolving international AI regulations (2026-2030)
  • Conduct research on quantum computing's ethical implications for autonomous systems
  • Partner with policymakers to shape industry standards for transparent AI decision-making
  • Present findings at global tech ethics summits and publish in peer-reviewed journals

Qualifications

  • PhD in Computer Science, Philosophy, or related field with 5+ years AI ethics experience
  • Deep expertise in quantum computing principles and their ethical implications
  • Proven track record publishing in top-tier AI ethics journals (e.g., Nature Machine Intelligence)
  • Experience leading technical teams through complex regulatory compliance processes
  • Strong background in algorithmic bias mitigation and fairness metrics
  • Familiarity with emerging global AI governance frameworks (EU AI Act, US AI Bill of Rights)
  • Exceptional communication skills for translating technical concepts to non-technical stakeholders

Required Skills

AI Ethics Quantum Computing Machine Learning Algorithmic Fairness Regulatory Compliance Research Leadership Policy Development

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