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2026 AI Ethics Lead

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

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary 2026 AI Ethics Lead to shape the future of ethical AI implementation. As our industry evolves toward 2026, you'll architect frameworks ensuring AI systems align with human values while driving innovation. This role combines cutting-edge technical expertise with philosophical depth to solve complex ethical dilemmas in autonomous systems, machine learning, and generative AI. Work with Fortune 500 partners to establish industry benchmarks for AI transparency and accountability.

Why Nexus? Our state-of-the-art research lab in San Francisco's tech corridor offers unparalleled resources to pioneer ethical AI solutions. We provide competitive benefits, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier AI ethics journals.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks for autonomous systems and generative models
  • Lead cross-functional teams in auditing AI algorithms for bias, fairness, and transparency
  • Partner with product teams to integrate ethical considerations into the full AI development lifecycle
  • Represent Nexus at global AI ethics summits and regulatory policy discussions
  • Establish KPIs for measuring AI ethical performance across enterprise systems
  • Author white papers and thought leadership on emerging AI ethics challenges for 2026
  • Train engineers and data scientists on responsible AI development practices

Qualifications

  • PhD in Philosophy, Computer Science, or related field with focus on AI ethics (or equivalent experience)
  • 5+ years implementing AI governance frameworks in tech or research environments
  • Expertise in bias detection/mitigation techniques for ML models and NLP systems
  • Published research in top-tier AI ethics or responsible AI journals/conferences
  • Deep understanding of evolving global AI regulations (EU AI Act, NIST frameworks)
  • Experience collaborating with policymakers and standards bodies
  • Exceptional communication skills for translating complex ethical concepts to technical teams

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation Regulatory Compliance Philosophy of Technology NLP Ethics Autonomous Systems Risk Assessment

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