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2026 AI Ethics Research Lead

Nexus Futures Institute
Austin
Estimated Salary
USD 145.000 – USD 195.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Futures Institute at the forefront of shaping responsible AI for 2026. We're seeking a visionary AI Ethics Research Lead to define frameworks that will guide ethical AI development in the coming decade. This role combines cutting-edge research with practical implementation, ensuring technological advancement aligns with human values. You'll collaborate with quantum computing teams, policy advisors, and industry pioneers to create ethical blueprints for autonomous systems, predictive analytics, and generative AI. Our Austin campus offers state-of-the-art facilities and a culture dedicated to ethical innovation.

Responsibilities

  • Develop and implement ethical frameworks for AI systems deployed in 2026+ environments
  • Lead cross-functional research on bias mitigation in quantum-enhanced algorithms
  • Partner with policy teams to draft industry standards for AI transparency and accountability
  • Design ethics validation protocols for autonomous decision-making systems
  • Conduct scenario planning for emerging AI risks in healthcare and infrastructure sectors
  • Publish peer-reviewed research on AI ethics in collaboration with academic partners
  • Mentor interdisciplinary teams on ethical AI implementation strategies

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Published research on algorithmic bias mitigation or AI governance frameworks
  • Expertise in quantum computing ethics and emerging technology impact assessment
  • Strong background in policy development with regulatory bodies or tech councils
  • Proven ability to translate complex ethical concepts into actionable guidelines
  • Experience leading cross-functional research teams in tech or academia
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)

Required Skills

AI Ethics Quantum Computing Policy Development Research Leadership Algorithmic Bias Risk Assessment Governance Frameworks Cross-functional Collaboration

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