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AI Ethics & Governance Specialist

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Specialist to shape the ethical frameworks for our next-generation autonomous systems. This role sits at the intersection of cutting-edge technology and human values, ensuring our innovations align with global ethical standards while driving business impact. You'll collaborate with AI researchers, policymakers, and industry leaders to define the future of trustworthy AI.

Why Nexus Future Labs? We offer competitive equity packages, flexible hybrid work, and the opportunity to influence AI governance at scale. Our team includes pioneers from OpenAI, Stanford HAI, and the World Economic Forum.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous systems and generative AI
  • Conduct bias audits and fairness assessments using advanced statistical modeling
  • Develop AI transparency protocols for high-stakes decision-making systems
  • Partner with engineering teams to embed ethical safeguards into ML pipelines
  • Represent the company in global AI ethics forums (OECD, IEEE, etc.)
  • Create audit trails and explainability documentation for regulatory compliance
  • Lead cross-functional workshops on responsible AI deployment

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
  • 5+ years in AI governance, ethics, or compliance with regulated industries
  • Expertise in bias mitigation techniques and fairness metrics (e.g., AIF360, Fairlearn)
  • Deep understanding of global AI regulations (EU AI Act, NIST RMF, etc.)
  • Experience with MLOps pipelines and model versioning systems
  • Published research in AI ethics or demonstrated thought leadership
  • Ability to translate complex ethical concepts into technical requirements

Required Skills

AI Ethics Governance Bias Mitigation Regulatory Compliance Explainable AI MLOps Fairness Metrics Policy Development

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