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AI Ethics Research Director

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Lead humanity's ethical transition into the AI-powered future at Nexus Future Labs. We're pioneering responsible AI frameworks that will define how autonomous systems interact with society in 2026 and beyond. As our AI Ethics Research Director, you'll shape policies that balance innovation with human values while working alongside Nobel laureates and Silicon Valley visionaries.

This role combines cutting-edge technical research with strategic influence on global AI governance. You'll develop audit protocols for quantum neural networks, design bias mitigation algorithms for next-gen LLMs, and advise Fortune 500 companies on deploying ethical autonomous systems.

Responsibilities

  • Develop and implement ethical frameworks for autonomous systems and quantum AI applications
  • Lead cross-functional teams of AI researchers, philosophers, and policy experts
  • Design bias detection algorithms for next-generation language models
  • Advise corporate boards and regulatory bodies on AI governance policies
  • Establish audit protocols for neural network decision-making transparency
  • Coordinate with international bodies on AI ethics standards for 2026 deployment
  • Publish groundbreaking research in Nature AI and IEEE journals

Qualifications

  • PhD in AI Ethics, Computer Science, Philosophy, or related field
  • 5+ years experience in AI governance or ethical technology development
  • Expertise in bias mitigation algorithms and explainable AI systems
  • Published research in top-tier AI ethics journals (Nature, Science)
  • Experience advising Fortune 500 companies on AI deployment
  • Deep understanding of quantum computing's ethical implications
  • Proven ability to translate complex ethical concepts into actionable policies

Required Skills

AI Ethics Quantum Computing Governance Bias Mitigation Explainable AI Policy Development Neural Networks Autonomous Systems

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