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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Officer

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we prepare for the 2026 digital transformation landscape. We're seeking a visionary AI Ethics Officer to shape our responsible AI framework and ensure our technologies align with human values. This pivotal role requires strategic thinking, deep technical knowledge, and a passion for bridging innovation with integrity.

You'll collaborate with cross-functional teams to embed ethical considerations into AI product lifecycles, from research to deployment. Our dynamic environment offers competitive compensation, comprehensive benefits, and the opportunity to influence how AI shapes our future.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with emerging 2026 regulatory standards
  • Conduct bias audits and impact assessments for AI systems using advanced validation techniques
  • Lead stakeholder engagement sessions to establish transparent AI accountability protocols
  • Author thought leadership on ethical AI practices and contribute to industry standards
  • Monitor global AI regulatory developments and adapt organizational policies proactively
  • Train cross-functional teams on responsible AI deployment methodologies

Qualifications

  • Master's degree in AI Ethics, Computer Science, Philosophy, or related field (PhD preferred)
  • 5+ years in AI governance, responsible AI, or compliance roles
  • Expertise in bias mitigation techniques and fairness metrics for ML models
  • Strong understanding of emerging AI regulations (EU AI Act, NIST frameworks)
  • Experience with stakeholder management across technical and non-technical domains
  • Published research in AI ethics or demonstrated thought leadership
  • Proficiency in ethical auditing tools and AI fairness libraries

Required Skills

AI Ethics Governance Bias Mitigation Regulatory Compliance Stakeholder Management Fairness Metrics AI Auditing NIST Frameworks

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