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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance 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 frontier as our AI Ethics & Governance Lead. We're pioneering responsible AI systems that will define the next decade of human-machine collaboration. This role sits at the intersection of cutting-edge AI development and ethical stewardship, ensuring our innovations align with societal values and regulatory frameworks.

In this pivotal position, you'll shape our ethical AI framework, conduct bias audits, and develop governance protocols for autonomous systems. You'll collaborate with quantum computing researchers, neuroscientists, and policy experts to build safeguards for technologies that will impact billions.

We offer competitive compensation, unlimited learning stipends, and a flexible hybrid work environment. Your work will directly influence how humanity navigates the AI revolution of 2026.

Responsibilities

  • Design and implement comprehensive AI ethics frameworks for autonomous decision systems
  • Lead bias audits and fairness assessments across machine learning pipelines
  • Develop governance protocols for human-AI collaboration interfaces
  • Partner with policy teams to shape 2026 regulatory compliance strategies
  • Train cross-functional teams on ethical AI deployment principles
  • Conduct scenario planning for emerging AI risks and mitigation strategies
  • Publish white papers on responsible AI adoption for industry standards

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years of AI governance experience
  • Proven track record designing ethical frameworks for large-scale AI systems
  • Expertise in bias mitigation techniques for machine learning models
  • Familiarity with 2025-2026 emerging AI regulatory landscapes (EU AI Act, US AI Bill of Rights)
  • Strong background in participatory design methodologies for stakeholder engagement
  • Public speaking experience at global AI ethics conferences
  • Proficiency in Python for algorithmic bias auditing
  • Portfolio published in peer-reviewed journals or industry white papers

Required Skills

AI Ethics Governance Machine Learning Bias Mitigation Regulatory Compliance Participatory Design Python Policy Analysis Risk Assessment

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