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AI Ethics Lead - 2026 Visionary

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of shaping ethical AI for 2026. We seek an AI Ethics Lead to pioneer responsible innovation in a world where technology and humanity converge. This is your chance to define the ethical blueprint for tomorrow's intelligent systems while working alongside Nobel laureates and Turing Award winners in our state-of-the-art San Francisco lab.

We offer unparalleled benefits: equity packages, unlimited PTO, and dedicated 'Future Fridays' for speculative research. Our mission: to ensure AI advances human dignity in an increasingly automated world. If you're passionate about building technology that serves humanity, this is your calling.

Responsibilities

  • Develop and implement ethical frameworks for autonomous systems deployed by 2026
  • Lead cross-functional audits of AI algorithms for bias, fairness, and transparency
  • Collaborate with product teams to embed ethical design principles from concept to deployment
  • Author industry-shaping white papers on AI governance and regulatory compliance
  • Represent Nexus at global forums on AI ethics (WEF, UN, OECD)
  • Mentor junior researchers in speculative AI ethics methodologies
  • Drive innovation in explainable AI (XAI) and responsible data curation

Qualifications

  • PhD in Computer Science, Philosophy, or Ethics with 5+ years in AI governance
  • Published research in top-tier journals on algorithmic fairness or digital rights
  • Expertise in EU AI Act, NIST AI RMF, and emerging global AI regulations
  • Proven experience auditing high-stakes AI systems (healthcare, autonomous vehicles)
  • Deep knowledge of ethical frameworks (utilitarian, deontological, virtue ethics)
  • Exceptional communication skills translating complex ethics for technical teams
  • Track record of influencing industry standards through thought leadership

Required Skills

AI Ethics Algorithmic Auditing Regulatory Compliance Explainable AI Digital Rights Governance Frameworks Bias Mitigation Responsible AI Future Technology Ethics Policy Development

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