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2026 AI Ethics Lead

FutureHorizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join FutureHorizon Labs at the forefront of responsible AI innovation. As our 2026 AI Ethics Lead, you'll architect ethical frameworks for next-generation autonomous systems while influencing global AI policy. This pivotal role combines technical depth with strategic vision to ensure AI development aligns with human values and societal progress. You'll collaborate with quantum computing researchers and neuromorphic engineers to pioneer governance models that will shape the next decade of technological advancement.

We offer cutting-edge resources, competitive benefits including equity in emerging tech ventures, and a dynamic environment where your expertise directly impacts the future of human-AI coexistence. This hybrid position requires 3 days/week in our Austin innovation hub with flexible remote options.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous systems deployed by 2026
  • Liaise with international regulatory bodies to shape AI policy standards
  • Lead cross-functional audits of AI bias and fairness across quantum/neural networks
  • Develop predictive ethics models for emergent AI behaviors
  • Train engineering teams on responsible AI development lifecycle
  • Author white papers on AI-human alignment for peer-reviewed journals
  • Chair the FutureHorizon Ethics Council with external stakeholders

Qualifications

  • PhD in Ethics, AI, or related field with 5+ years applied experience
  • Proven track record influencing national/international AI policy
  • Expertise in bias mitigation for neural networks and quantum systems
  • Published research in top-tier AI ethics journals (NeurIPS, ICLR)
  • Proficiency in Python and ethical auditing frameworks (AIF360, Fairlearn)
  • Experience leading technical ethics teams in fast-paced environments
  • Deep understanding of existential risk mitigation in AI development
  • Certification in Responsible AI (e.g., IBM, Google)

Required Skills

AI Ethics Quantum Computing Policy Development Neural Networks Bias Mitigation Governance Risk Assessment Strategic Planning

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