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AI Ethics Research Lead (2026 Vision)

Quantum Horizons Institute
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Quantum Horizons Institute at the forefront of ethical AI development for 2026. We're pioneering responsible AI frameworks that will shape humanity's technological future. As our AI Ethics Research Lead, you'll architect governance systems for next-generation AI systems while ensuring alignment with human values. Work alongside Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley facility.

Our 2026 initiative focuses on developing auditable, transparent, and bias-resistant AI architectures. This role offers unparalleled influence on global tech policy and the opportunity to publish groundbreaking research in partnership with Stanford and MIT.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous AI systems
  • Lead cross-functional research teams in developing bias mitigation algorithms
  • Collaborate with policymakers to shape 2026 AI regulatory standards
  • Conduct ethical audits of advanced machine learning models
  • Develop transparent explainability protocols for deep neural networks
  • Publish peer-reviewed research on AI ethics and societal impact
  • Coordinate international working groups on AI safety protocols

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field
  • 5+ years in AI ethics research or governance roles
  • Expertise in bias detection and fairness metrics for ML systems
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong publication record in top-tier AI/ethics journals
  • Proficiency in Python and ML frameworks for ethical auditing
  • Deep understanding of existential AI safety principles
  • Experience leading international research consortia

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation Explainable AI AI Safety Regulatory Compliance Research Leadership Policy Development

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