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AI Ethics Research Lead (2026 Vision)

NexusAI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join NexusAI Labs at the forefront of ethical AI development for 2026. We're pioneering responsible AI frameworks that will define tomorrow's digital landscape. As our AI Ethics Research Lead, you'll architect governance systems that balance innovation with societal impact, ensuring our autonomous systems align with human values. This role offers unparalleled influence in shaping AI policy and collaborating with global regulators, tech pioneers, and academic institutions.

Our San Francisco hub features state-of-the-art labs, flexible work arrangements, and a culture committed to solving humanity's most complex challenges. You'll lead a multidisciplinary team of ethicists, engineers, and social scientists while publishing groundbreaking research in top-tier journals.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 deployment
  • Lead cross-functional teams in auditing AI systems for bias and fairness
  • Develop predictive models for AI societal impact assessment
  • Advise C-suite on ethical AI strategy and regulatory compliance
  • Partner with policymakers to shape emerging AI legislation
  • Chair international consortium on AI ethics standards
  • Publish peer-reviewed research on AI alignment and transparency

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics research or governance leadership
  • Expertise in fairness, accountability, and transparency (FAT) frameworks
  • Published work in top-tier AI ethics journals/conferences
  • Experience with regulatory bodies (e.g., EU AI Act, NIST frameworks)
  • Advanced knowledge of ML systems and deployment challenges
  • Proven ability to translate complex ethical concepts for technical teams
  • Strong network with global AI ethics communities

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Policy Development Research Leadership Ethical AI Frameworks Regulatory Compliance Predictive Modeling

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