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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist & Policy Specialist

Nexus Futures Group
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Futures Group at the forefront of responsible AI innovation. As we prepare for the 2026 technological revolution, we seek a visionary AI Ethicist to shape the future of artificial intelligence governance. You will develop robust ethical frameworks, ensure compliance with evolving regulations, and lead cross-functional initiatives to embed ethics into AI lifecycle processes. This role offers unparalleled influence in defining how humanity coexists with autonomous systems.

Why Nexus Futures? We're pioneering the next wave of human-AI collaboration with 60% of our R&D focused on 2026-ready solutions. Our dynamic team includes Nobel laureates, ex-Google AI directors, and UN digital policy advisors.

Responsibilities

  • Design and implement ethical governance frameworks for generative AI systems
  • Conduct bias audits and risk assessments for autonomous decisioning platforms
  • Develop 2026-compliance protocols for AI transparency and explainability
  • Lead stakeholder workshops with engineers, policymakers, and civil society groups
  • Author white papers on AI ethics for regulatory bodies and industry standards
  • Monitor emerging legislation (EU AI Act, US AI Bill of Rights) and adapt strategies
  • Mentor junior researchers in responsible AI methodologies

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or tech ethics roles
  • Expertise in bias mitigation techniques for ML models
  • Deep knowledge of global AI regulatory landscapes (US/EU/Asia)
  • Published work on AI ethics or technology policy
  • Experience with cross-functional ethical design processes
  • Certification in AI Risk Management (e.g., IEEE P7000 series)
  • Proficiency in Python for ethical auditing workflows

Required Skills

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

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