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AI Ethicist & Futurist

Nexus Horizons
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the ethical frontier of 2026 at Nexus Horizons. We're pioneering AI systems that redefine human potential, and we need an AI Ethicist & Futurist to navigate the moral complexities of tomorrow's technology. Join our Austin-based innovation hub where your insights will directly influence how humanity coexists with advanced AI.

As a key member of our Future Ethics Council, you'll collaborate with Nobel laureates, neuroscientists, and AI architects to develop governance frameworks for quantum AI, neural interfaces, and autonomous systems. This isn't just a jobβ€”it's your chance to architect the ethical blueprint for 2026 and beyond.

Responsibilities

  • Design ethical frameworks for next-gen AI systems including quantum computing applications
  • Lead cross-functional ethics audits for autonomous neural interface development
  • Develop predictive models for AI-human symbiosis scenarios in 2026-2030
  • Chair monthly ethics councils with C-suite executives and research fellows
  • Author white papers on AI governance for UN Technology summits
  • Mentor junior researchers in applied ethics and future-scenario planning
  • Collaborate with regulatory bodies to shape AI policy frameworks

Qualifications

  • PhD in Philosophy, Ethics, Cognitive Science, or related field with AI specialization
  • 5+ years in applied AI ethics with published research in Nature/AI journals
  • Expertise in quantum ethics, neuroethics, and distributed AI systems
  • Proficiency in scenario modeling tools (e.g., GPT-4, Claude, or custom frameworks)
  • Experience with UN/UNESCO AI ethics committees or similar governance bodies
  • Deep understanding of 2026 technological convergence points (quantum/neural/AI)
  • Exceptional communication skills for translating complex ethics to diverse stakeholders

Required Skills

AI Ethics Quantum Computing Neural Interfaces Future Forecasting Governance Frameworks Cognitive Science Policy Development Scenario Modeling

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