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AI Ethics Research Lead

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

Job Description

Join Nexus Labs at the forefront of 2026's AI revolution! We're seeking a visionary AI Ethics Research Lead to shape the ethical frameworks for next-generation autonomous systems. As a pioneer in responsible AI development, you'll collaborate with quantum computing teams and neuroscientists to ensure human-centric innovation. Our multidisciplinary lab operates at the intersection of technology and philosophy, offering unparalleled opportunities to influence global AI policy while working in our state-of-the-art San Francisco headquarters.

Why Nexus Labs? We're the incubator for 2026's breakthrough technologies, offering competitive equity packages, flexible work arrangements, and access to exclusive industry conferences. Your work will directly impact how humanity navigates the AI-powered future.

Responsibilities

  • Design and implement ethical validation protocols for autonomous decision-making systems
  • Lead cross-functional research initiatives combining quantum ethics and neuro-symbolic AI
  • Develop industry standards for bias mitigation in generative models
  • Collaborate with policy advisors to shape 2026 AI regulatory frameworks
  • Mentor a team of 5-7 researchers in responsible AI methodologies
  • Present findings at global ethics summits and peer-reviewed publications
  • Partner with neuroscientists to align AI development with cognitive science principles

Qualifications

  • PhD in Philosophy, Computer Science, or Ethics with 5+ years AI research experience
  • Published work on algorithmic bias or explainable AI (XAI)
  • Expertise in quantum computing ethics or neuro-symbolic systems
  • Experience developing AI governance frameworks for Fortune 500 companies
  • Proficiency in Python and ethical auditing tools (e.g., IBM Fairness 360)
  • Track record of influencing policy through academic or industry leadership
  • Deep understanding of 2026 emerging tech landscape (neuromorphic chips, swarm AI)

Required Skills

AI Ethics Quantum Computing Algorithmic Bias Neuro-Symbolic AI Policy Development Explainable AI Governance Frameworks Cognitive Science

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