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2026 AI Ethics Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs as our 2026 AI Ethics Lead to shape the responsible future of artificial intelligence. We're seeking a visionary leader to develop ethical frameworks for next-gen AI systems while driving industry-wide standards. This role sits at the intersection of technology, policy, and human values, offering a unique opportunity to influence how AI impacts society in the coming decade.

As a key member of our Innovation Ethics Council, you'll collaborate with engineers, policymakers, and global stakeholders to ensure AI development aligns with human-centric principles. If you're passionate about building equitable, transparent, and accountable AI systems that serve humanity's best interests, we invite you to pioneer this critical role.

Responsibilities

  • Design and implement ethical governance frameworks for AI systems deployed by 2026
  • Lead cross-functional audits of AI models for bias, fairness, and transparency
  • Develop industry-leading protocols for responsible AI development lifecycle
  • Represent the company at global AI ethics summits and policy forums
  • Train technical teams on ethical AI implementation and compliance standards
  • Establish KPIs for measuring AI's societal impact and ethical performance
  • Author thought leadership papers on AI ethics for 2026 technology landscape

Qualifications

  • PhD or Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 8+ years experience in AI governance, ethics, or responsible innovation
  • Deep expertise in EU AI Act, NIST AI RMF, and emerging global AI regulations
  • Proven track record of implementing ethical AI frameworks in production environments
  • Exceptional communication skills for translating complex ethics concepts to diverse audiences
  • Published research or significant contributions to AI ethics discourse
  • Experience with bias detection tools and fairness metrics in ML systems

Required Skills

AI Ethics Governance Responsible AI Policy Development Bias Mitigation NIST AI RMF EU AI Act Stakeholder Communication Machine Learning Auditing

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