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AI Ethics Research Lead (2026 Vision)

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

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we prepare for the technological landscape of 2026. We're pioneering responsible AI frameworks that will shape humanity's digital future. As our AI Ethics Research Lead, you'll architect governance systems for autonomous decision-making engines while ensuring alignment with evolving societal values.

Our multidisciplinary team combines neuroscience, philosophy, and computational ethics to create auditable AI systems. This role offers unparalleled influence in defining how next-generation AI will coexist with human dignity. You'll collaborate with quantum computing architects and neuro-symbolic AI designers to build ethical foundations for 2026's cognitive technologies.

Responsibilities

  • Design auditable ethical frameworks for autonomous AI systems deployed in high-stakes domains
  • Lead cross-functional task forces evaluating AI bias mitigation strategies for 2026 deployment scenarios
  • Develop real-time ethical monitoring systems for generative AI with human oversight protocols
  • Author white papers on AI governance standards adopted by global tech councils
  • Coordinate with neuro-symbolic AI researchers to embed ethical constraints in cognitive architectures
  • Mentor junior researchers in emerging ethical dilemmas of quantum-AI convergence
  • Represent company at international AI ethics summits shaping 2026 regulatory frameworks

Qualifications

  • PhD in Computer Science, Philosophy, Cognitive Science, or related field with 8+ years AI ethics experience
  • Published research on algorithmic fairness or explainable AI in top-tier journals (NeurIPS, ICLR, etc.)
  • Expertise in implementing ethical AI frameworks in production environments (e.g., IBM AI Fairness 360, Google What-If Tool)
  • Deep understanding of emerging 2026 AI trends: quantum neural networks, neuro-symbolic integration, and AGI safety protocols
  • Proven experience advising Fortune 500 companies on responsible AI deployment strategies
  • Strong background in interdisciplinary research combining technical AI knowledge with philosophical ethics
  • Fluency in regulatory frameworks (EU AI Act, NIST AI RMF) and future governance models

Required Skills

AI Ethics Explainable AI Algorithmic Fairness Quantum Computing Neuro-Symbolic AI Regulatory Compliance Cognitive Architectures Governance Frameworks

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