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2026 AI Ethics Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape the responsible technological landscape of 2026. We seek a visionary 2026 AI Ethics Lead to architect governance frameworks that balance innovation with human values. This role bridges cutting-edge AI research with societal impact, ensuring our autonomous systems align with global ethical standards while driving commercial success.

Our ideal candidate thrives at the intersection of technology, philosophy, and policy, with a passion for building equitable AI systems that serve humanity's evolving needs. You'll collaborate with world-class engineers, policymakers, and ethicists to define the ethical boundaries of next-generation AI.

Responsibilities

  • Design and implement AI ethics governance frameworks for 2026-era autonomous systems
  • Lead cross-functional ethics audits of machine learning models and data pipelines
  • Develop policy recommendations for regulatory bodies on emerging AI risks
  • Create transparency protocols for explainable AI in high-stakes domains
  • Conduct scenario planning for ethical dilemmas in human-AI interaction
  • Mentor teams on responsible AI development practices
  • Publish thought leadership on ethical AI standards

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI ethics, responsible AI, or governance roles
  • Expertise in frameworks like EU AI Act, NIST RMF, or IEEE Ethically Aligned Design
  • Deep understanding of bias mitigation techniques in ML systems
  • Experience working with policymakers on tech regulation
  • Published research in AI ethics or adjacent fields
  • Proficiency in Python for algorithmic bias analysis
  • Certification in AI governance (e.g., CEGAI, CSEP)

Required Skills

AI Ethics Machine Learning Governance Policy Development Bias Mitigation Explainable AI Regulatory Compliance Ethical Framework Design Scenario Planning

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