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2026 AI Ethics Lead

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

Job Description

Join Nexus Future Labs at the forefront of responsible AI development as we prepare for the 2026 global AI regulatory landscape. We're seeking a visionary AI Ethics Lead to shape our ethical framework for next-generation autonomous systems. This role combines cutting-edge AI governance with human-centered design principles to ensure our innovations benefit humanity while mitigating existential risks. You'll collaborate with quantum computing researchers, neuroscientists, and policy experts to build the ethical backbone of tomorrow's AI infrastructure.

What You'll Achieve:

  • Design and implement auditable AI ethics protocols for 2026-compliant systems
  • Lead cross-functional ethics committees with C-suite executives
  • Develop predictive risk models for emergent AI behaviors
  • Shape industry-wide ethics standards through thought leadership

Responsibilities

  • Establish governance frameworks for AGI (Artificial General Intelligence) development
  • Conduct ethical audits of machine learning pipelines using explainable AI tools
  • Interface with regulatory bodies on behalf of 2026 AI compliance initiatives
  • Mentor ethics specialists across 15 R&D centers globally
  • Author white papers on AI alignment and value learning systems
  • Coordinate with neuroscience teams on brain-computer interface ethics
  • Design bias mitigation protocols for quantum-aided decision systems

Qualifications

  • PhD in Ethics, Philosophy, or AI/ML with 8+ years applied experience
  • Published work on AI alignment or existential risk mitigation
  • Expertise in ISO/IEC 42001 and EU AI Act compliance frameworks
  • Experience leading ethics committees for autonomous systems
  • Proficiency in computational ethics modeling tools (e.g., EthicaML)
  • Deep understanding of 2026 technology forecast and regulatory trends
  • Track record of influencing AI policy through academic or industry contributions
  • Certification in Responsible AI Governance (RAIG) preferred

Required Skills

AI Ethics Governance AGI Safety Explainable AI Regulatory Compliance Risk Assessment Value Alignment Quantum Ethics

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