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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist & Governance Lead

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

Job Description

Join Nexus Future Labs at the forefront of ethical AI innovation as we shape the responsible digital landscape of 2026. We seek a visionary AI Ethicist & Governance Lead to architect frameworks ensuring AI systems align with human values, equity, and societal progress. This role pioneers proactive governance for autonomous systems, predictive analytics, and next-gen neural interfaces.

Collaborate with quantum computing teams, neuro-engineering specialists, and policy makers to establish industry-leading ethical protocols. You'll influence global AI standards while mentoring cross-functional teams in responsible development practices.

Responsibilities

  • Design and implement ethical governance frameworks for generative AI, predictive modeling, and autonomous decision systems
  • Conduct bias audits and fairness assessments across machine learning pipelines
  • Develop enterprise-wide AI ethics policies and compliance protocols for 2026 regulatory landscape
  • Lead stakeholder workshops with engineers, legal teams, and community representatives
  • Research emerging ethical challenges in quantum-AI convergence and neuro-interfacing
  • Produce impact assessments for high-stakes AI deployments in healthcare, finance, and critical infrastructure

Qualifications

  • PhD or advanced degree in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Expertise in bias mitigation algorithms, explainable AI (XAI), and fairness metrics
  • Deep knowledge of global AI regulations (EU AI Act, NIST frameworks, etc.)
  • Published research in AI ethics or responsible technology (peer-reviewed journals)
  • Experience with neuro-symbolic AI and quantum machine learning architectures
  • Strong background in participatory design methodologies with diverse communities
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design, Fairlearn)

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Explainable AI Regulatory Compliance Quantum Computing Ethics Neuro-Interface Ethics Participatory Design Policy Development Risk Assessment

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