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2026 AI Ethics Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of shaping responsible AI for 2026. We're seeking a visionary AI Ethics Lead to design governance frameworks that ensure our autonomous systems align with human values. This role requires deep technical expertise combined with strategic foresight to navigate emerging ethical challenges in quantum computing and neural interfaces.

You'll collaborate with cross-disciplinary teams to implement bias mitigation protocols, conduct real-time ethical audits of AI deployments, and pioneer industry standards for transparent algorithmic decision-making. Your work will directly influence how next-generation technologies impact society.

Responsibilities

  • Develop and enforce AI ethics governance frameworks for 2026 technology stack
  • Conduct bias audits and impact assessments on autonomous systems
  • Lead cross-functional ethics committees with engineering, legal, and social science teams
  • Design transparency protocols for explainable AI (XAI) in high-stakes domains
  • Advise on regulatory compliance for emerging neuro-technological interfaces
  • Create ethics training programs for technical teams deploying quantum AI
  • Publish thought leadership on responsible AI adoption in peer-reviewed journals

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Proven track record implementing ethical AI frameworks in production environments
  • Expertise in bias mitigation techniques for deep learning and neural networks
  • Familiarity with EU AI Act, NIST AI RMF, and emerging quantum computing regulations
  • Strong background in participatory design methods for stakeholder engagement
  • Published research on algorithmic fairness or AI safety (IEEE/ACM preferred)
  • Certification in AI ethics from recognized institutions (e.g., IEEE, OECD)

Required Skills

AI Ethics Governance Bias Mitigation Explainable AI Regulatory Compliance Quantum Computing Neural Interfaces Stakeholder Engagement NIST AI RMF

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