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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Governance Specialist

Nexus Innovations
San Francisco
Estimated Salary
USD 165.000 – USD 210.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking an AI Ethics Governance Specialist to shape ethical frameworks for our 2026 product roadmap. This role bridges cutting-edge technology with human-centered design, ensuring our AI systems align with global ethical standards while driving innovation.

Why Nexus Innovations? We're pioneering ethical AI solutions that redefine industry standards. Our team operates at the intersection of technology, philosophy, and policy, creating systems that empower humanity while mitigating risks. This is your chance to influence how AI shapes our collective future.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with 2026 regulatory requirements
  • Conduct bias audits and impact assessments for autonomous systems
  • Collaborate with engineering teams to embed ethical safeguards in AI development pipelines
  • Lead stakeholder engagement sessions with policymakers, academics, and industry partners
  • Create transparency documentation for high-stakes AI decision-making processes
  • Monitor emerging ethical challenges in generative AI and predictive analytics
  • Establish continuous improvement mechanisms for AI ethics compliance

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or responsible tech development
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, etc.)
  • Strong understanding of algorithmic bias mitigation techniques
  • Experience with stakeholder engagement across diverse cultural contexts
  • Published research or practical experience in AI ethics preferred
  • Certification in AI ethics (e.g., IEEE, ACM) highly valued

Required Skills

AI Ethics Governance Regulatory Compliance Algorithmic Bias Stakeholder Engagement NIST AI RMF EU AI Act Transparency Documentation Risk Assessment

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