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AI Ethics Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of shaping ethical AI frameworks for 2026. We're pioneering next-generation governance systems that balance technological advancement with human values. Lead a cross-disciplinary team of engineers, ethicists, and policymakers to develop robust AI safety protocols that will define responsible innovation for the next decade.

This role offers unparalleled influence in shaping global AI standards while working with cutting-edge quantum computing infrastructure. You'll collaborate with Fortune 500 partners to implement real-time ethical monitoring systems and contribute to international AI policy discussions.

Responsibilities

  • Design and implement AI ethics frameworks aligned with 2026 technological capabilities
  • Lead cross-functional teams in developing bias mitigation algorithms for generative systems
  • Conduct scenario planning for emerging AI risks including autonomous decision-making systems
  • Partner with regulatory bodies to shape industry standards for transparent AI deployment
  • Develop quantum-secure verification protocols for AI training data integrity
  • Create educational materials for organizations adopting ethical AI practices
  • Present findings at global tech policy summits including the 2026 AI Governance Forum

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI governance experience
  • Published research on algorithmic bias mitigation or AI safety mechanisms
  • Expertise in quantum computing principles and their implications for AI security
  • Proven track record influencing national/international AI policy development
  • Experience with ISO/IEC 42001 and NIST AI Risk Management Framework
  • Strong background in machine learning model interpretability techniques
  • Exceptional communication skills for presenting complex ethical concepts to diverse stakeholders
  • Certification in AI Ethics from recognized institutions (e.g., IEEE, ACM)

Required Skills

AI Ethics Quantum Computing Machine Learning Policy Development Risk Assessment Bias Mitigation Governance Frameworks Cross-Functional Leadership

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