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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of shaping ethical AI frameworks for 2026 and beyond. We're seeking a visionary AI Ethics Research Lead to pioneer responsible innovation in an era of transformative technology. This role demands a blend of philosophical rigor, technical expertise, and strategic foresight to ensure our AI systems align with human values while driving breakthrough solutions.

You'll collaborate with interdisciplinary teams to develop governance frameworks for autonomous systems, audit algorithmic bias, and design ethical guidelines for generative AI. Our ideal candidate thrives at the intersection of technology and humanity, advocating for transparency, fairness, and accountability in AI development.

Responsibilities

  • Lead research initiatives to identify and mitigate ethical risks in AI deployment systems
  • Develop comprehensive ethical frameworks for generative AI and autonomous technologies
  • Partner with engineering teams to implement bias detection tools and transparency protocols
  • Present findings to stakeholders including C-suite executives, regulators, and academic partners
  • Author white papers and policy recommendations for industry-wide adoption
  • Mentor cross-functional teams on ethical AI implementation strategies
  • Monitor global regulatory developments and adapt compliance frameworks proactively

Qualifications

  • PhD in Philosophy, Computer Science, Ethics, or related field with 5+ years of applied AI ethics experience
  • Proven track record publishing peer-reviewed research on algorithmic bias or fairness in AI
  • Expertise in regulatory frameworks (EU AI Act, NIST RMF, etc.)
  • Strong programming skills (Python/R) with experience in ML model auditing
  • Exceptional communication skills for translating complex concepts to diverse audiences
  • Experience working with Fortune 500 companies on AI governance initiatives
  • Demonstrated ability to lead cross-functional teams in high-stakes tech environments

Required Skills

AI Ethics Algorithmic Bias Governance Frameworks Regulatory Compliance Generative AI Philosophy of Technology Research Methodology Policy Development

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