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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

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

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We're seeking a visionary AI Ethics & Governance Specialist to design robust frameworks that balance innovation with societal impact. In this pivotal role, you'll collaborate with cross-functional teams to ensure our AI solutions uphold ethical standards, regulatory compliance, and public trust. If you're passionate about harnessing AI's potential while safeguarding humanity, this is your opportunity to define the future of responsible technology.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with emerging 2026 regulatory standards
  • Conduct bias audits and risk assessments for autonomous systems and machine learning models
  • Lead stakeholder workshops to establish ethical guidelines for AI deployment
  • Monitor and report on evolving AI legislation and ethical best practices
  • Design transparency protocols for explainable AI (XAI) implementations
  • Collaborate with product teams to embed ethical considerations into development lifecycles
  • Represent the organization in AI ethics forums and industry coalitions

Qualifications

  • Masters or PhD in Computer Science, Ethics, Law, or related field with 5+ years AI governance experience
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, 2026 proposed US federal standards)
  • Proven track record in bias mitigation for ML systems and algorithmic transparency
  • Deep understanding of ethical AI principles from both technical and philosophical perspectives
  • Strong policy development experience with cross-functional stakeholder management
  • Published work or certifications in AI ethics (e.g., IEEE Ethically Aligned Design)
  • Experience with auditing tools for fairness, accountability, and transparency (FAT) in AI

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Explainable AI Policy Development Risk Assessment Stakeholder Engagement

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