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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

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

Job Description

Join Nexus Future Technologies at the forefront of responsible AI innovation. We're seeking a visionary AI Ethics & Governance Lead to shape the ethical framework for our 2026 quantum-enhanced AI systems. This pivotal role bridges cutting-edge technology with human-centric values, ensuring our AI solutions advance society while safeguarding against unintended consequences.

In this remote-first position, you'll collaborate with cross-disciplinary teams to develop ethical AI blueprints, conduct bias audits, and establish governance protocols for next-generation autonomous systems. Your work will directly influence how humanity interacts with AI in the coming decade.

Responsibilities

  • Design and implement ethical AI frameworks for quantum-enhanced machine learning systems
  • Lead bias audits and impact assessments for autonomous decision-making algorithms
  • Develop governance protocols for human-AI collaboration in high-stakes environments
  • Create transparency mechanisms for explainable AI in regulated industries
  • Coordinate with legal teams to ensure compliance with evolving AI regulations
  • Mentor junior data scientists on responsible AI development practices
  • Publish thought leadership on AI ethics in emerging technology forums

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Proven track record developing ethical frameworks for large-scale AI deployments
  • Expertise in bias mitigation techniques for machine learning algorithms
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Strong background in quantum computing principles or post-quantum cryptography
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design)
  • Experience with stakeholder engagement across technical and non-technical audiences

Required Skills

AI Ethics Quantum Computing Governance Machine Learning Bias Mitigation Regulatory Compliance Explainable AI

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