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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

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

Job Description

Join Nexus Horizon Labs at the forefront of ethical AI development as we shape the responsible future of artificial intelligence. As an AI Ethics & Governance Lead, you'll architect frameworks ensuring our autonomous systems align with human values while driving innovation. Collaborate with cross-functional teams to embed ethical principles into product lifecycles, conduct bias audits, and pioneer industry standards for transparent AI deployment. This role offers unparalleled impact in defining how humanity coexists with advanced AI by 2026.

Responsibilities

  • Design and implement comprehensive AI ethics governance frameworks aligned with evolving global regulations
  • Lead bias audits and impact assessments for autonomous decision-making systems
  • Develop AI transparency protocols for explainable machine learning models
  • Partner with engineering teams to embed ethical safeguards into AI development pipelines
  • Represent the organization in AI ethics coalitions and regulatory discussions
  • Create stakeholder education programs on responsible AI deployment
  • Establish continuous monitoring systems for algorithmic fairness and accountability

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field with 5+ years in AI governance
  • Proven expertise in developing bias mitigation strategies for machine learning systems
  • Deep knowledge of EU AI Act, NIST AI RMF, and emerging global AI regulations
  • Experience with cross-functional AI ethics implementation in tech environments
  • Strong background in policy development and stakeholder engagement
  • Publication record in AI ethics or responsible AI research
  • Certification in AI ethics or data governance (e.g., CDEP, CIPM)

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Regulatory Compliance Explainable AI Policy Development Stakeholder Engagement Machine Learning Audits EU AI Act NIST RMF

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