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AI Ethics Research Lead (2026 Vision)

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Horizons to architect the ethical foundation of tomorrow's AI landscape. As we approach 2026, we seek visionary leaders to define responsible AI frameworks that will shape humanity's digital future. This hybrid role combines cutting-edge research with policy innovation, requiring you to navigate complex ethical dilemmas while building scalable governance systems for next-generation AI systems.

Our cross-functional teams collaborate with quantum computing researchers and neuroscientists to develop ethical protocols for autonomous systems. You'll influence industry standards through white papers and stakeholder dialogues, ensuring technological advancement aligns with human values.

Responsibilities

  • Design ethical frameworks for 2026-era AI systems including autonomous decision-making algorithms
  • Lead interdisciplinary teams of ethicists, engineers, and social scientists
  • Develop bias mitigation protocols for generative AI models
  • Produce policy recommendations for regulatory bodies and Fortune 500 partners
  • Conduct longitudinal impact assessments on AI deployments in critical infrastructure
  • Mentor junior researchers in emerging AI ethics methodologies
  • Organize global symposia on responsible AI development

Qualifications

  • PhD in Philosophy, Computer Science, or Ethics with 5+ years applied AI research
  • Published work on algorithmic bias or AI governance frameworks
  • Experience with quantum computing ethics or neuro-symbolic AI
  • Deep understanding of EU AI Act and NIST AI Risk Management Framework
  • Technical proficiency in Python and ethical auditing tools
  • Track record influencing policy through academic or industry channels
  • Expertise in cross-cultural ethical decision-making for global AI deployments

Required Skills

AI Ethics Machine Learning Governance Quantum Computing Ethics Policy Development Algorithmic Auditing Cross-Cultural Ethics AI Safety Frameworks Regulatory Compliance

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