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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

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

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Specialist to shape the ethical frameworks for our 2026-generation autonomous systems. This role bridges cutting-edge technology with human-centered design, ensuring our innovations align with global standards while driving industry transformation. You'll collaborate with quantum computing teams, neuro-symbolic AI researchers, and policy experts to create auditable, transparent, and bias-mitigated AI ecosystems.

What You'll Experience:

• Lead ethics audits for generative AI models deployed in healthcare and critical infrastructure
• Design governance frameworks for neural-symbolic hybrids
• Develop bias mitigation algorithms for federated learning environments
• Interface with regulatory bodies on AI accountability standards
• Mentor cross-functional teams in ethical AI implementation

Responsibilities

  • Architect and implement AI ethics governance frameworks for 2026-generation autonomous systems
  • Conduct bias audits and fairness assessments across quantum/neural-symbolic hybrid models
  • Develop policy-compliant documentation for FDA/ISO-certified AI deployments
  • Lead stakeholder workshops on responsible AI adoption with enterprise clients
  • Create real-time monitoring dashboards for ethical compliance in dynamic environments
  • Collaborate with neuro-symbolic AI researchers to embed ethical safeguards
  • Pioneer industry standards for explainable AI in regulated sectors

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI ethics, governance, or responsible tech development
  • Expertise in federated learning bias mitigation techniques
  • Experience with ISO 38507 and NIST AI Risk Management Frameworks
  • Deep knowledge of neural-symbolic architectures and quantum computing ethics
  • Published research on explainable AI or algorithmic transparency
  • Certification in AI governance (e.g., CEGAI, AIGP)
  • Experience interfacing with regulatory bodies (FDA, EASA, etc.)

Required Skills

AI Ethics Quantum Computing Governance Neural-Symbolic AI Bias Mitigation ISO 38507 NIST RMF Explainable AI Federated Learning Algorithmic Transparency Regulatory Compliance

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