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AI Ethics Research Lead (2026 Vision)

Nexus Future Institute
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Future Institute at the forefront of shaping AI's ethical future. We're seeking a visionary AI Ethics Research Lead to pioneer responsible innovation frameworks for 2026 and beyond. As a key architect of our ethical AI initiatives, you'll collaborate with interdisciplinary teams to develop governance models that balance technological advancement with human values.

Our institute operates at the intersection of technology and philosophy, offering competitive benefits including equity packages, wellness stipends, and flexible hybrid work. If you're passionate about ensuring AI serves humanity ethically while driving breakthrough research, this is your defining opportunity.

Responsibilities

  • Lead cross-functional research teams in developing ethical AI governance frameworks for 2026 deployment scenarios
  • Design and implement bias mitigation protocols for next-generation autonomous systems
  • Author white papers and policy recommendations for global AI ethics summits
  • Collaborate with quantum computing teams to assess ethical implications of hybrid AI-quantum models
  • Establish audit protocols for generative AI systems in regulated industries
  • Mentor junior researchers in ethics-by-design methodologies
  • Present findings at international AI ethics conferences and policy forums

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics research experience
  • Published work on AI alignment, value learning, or algorithmic fairness in top-tier journals
  • Expertise in implementing ethical frameworks for LLMs and generative AI systems
  • Proven track record influencing AI policy through academic or industry contributions
  • Strong background in interdisciplinary research methodologies combining technical and philosophical analysis
  • Experience leading global research teams across multiple time zones
  • Proficiency in Python for ethical AI auditing tools development
  • Deep understanding of emerging AI risks (e.g. recursive self-improvement, value drift)

Required Skills

AI Ethics Machine Learning Research Leadership Policy Development Bias Mitigation Generative AI Quantum Ethics Governance Frameworks

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