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AI Ethics & Governance Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Lead to shape ethical frameworks for our 2026-era autonomous systems. This senior role bridges cutting-edge AI research with human-centered design principles, ensuring our innovations align with global ethical standards while maintaining competitive advantage.

As a pioneer in this emerging field, you'll collaborate with quantum computing teams, neuroscientists, and policy experts to develop governance protocols for next-generation AI. Our culture values radical transparency and proactive ethics - we don't just comply with regulations, we set industry benchmarks.

Responsibilities

  • Design and implement ethical governance frameworks for AI systems deployed in high-stakes environments
  • Lead cross-functional ethics committees including technical, legal, and community stakeholders
  • Develop bias mitigation protocols for generative AI models serving 50M+ users
  • Establish audit trails for autonomous decision-making systems using blockchain verification
  • Author industry whitepapers on AI ethics standards for 2026 regulatory landscapes
  • Train engineering teams on responsible AI development methodologies

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Published research on algorithmic bias or AI ethics in top-tier journals
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001)
  • Proficiency in Python and ML model interpretability tools (SHAP, LIME)
  • Experience scaling ethics programs across global organizations
  • Certification in AI governance (e.g., CEGAI) or equivalent practical expertise
  • Demonstrated ability to translate complex ethical concepts for technical teams

Required Skills

AI Ethics Governance Algorithmic Bias Machine Learning Regulatory Compliance Blockchain NIST AI RMF ISO/IEC 42001 Python SHAP CEGAI

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