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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 140.000 – USD 190.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI innovation. We're seeking an AI Ethics Strategist to design ethical frameworks for next-generation autonomous systems. As a mission-driven organization, we pioneer solutions that balance technological advancement with human-centric values. This role offers the unique opportunity to shape industry standards while working with quantum computing interfaces and neuro-symbolic AI. Our San Francisco hub combines cutting-edge research with collaborative workshops involving policymakers, engineers, and ethicists. Enjoy comprehensive benefits including equity, wellness stipends, and flexible hybrid work arrangements.

Responsibilities

  • Develop ethical governance protocols for generative AI and autonomous decision systems
  • Conduct bias audits across machine learning pipelines using fairness metrics
  • Interface with cross-functional teams to embed ethical principles into product lifecycles
  • Produce compliance frameworks aligning with EU AI Act and evolving US regulations
  • Lead stakeholder workshops on responsible AI adoption with Fortune 500 partners
  • Research emergent ethical challenges in quantum-AI convergence systems
  • Author industry white papers on algorithmic transparency and accountability

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 3+ years applied AI ethics experience
  • Expertise in bias mitigation techniques for large language models and computer vision systems
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Published research in top-tier venues on algorithmic fairness or explainable AI
  • Experience facilitating multi-stakeholder ethics committees with technical and non-technical audiences
  • Proficiency in Python for fairness auditing tools (AIF360, Fairlearn)
  • Portfolio demonstrating real-world implementation of ethical AI solutions

Required Skills

AI Ethics Machine Learning Regulatory Compliance Bias Mitigation Governance Frameworks Stakeholder Engagement Explainable AI Policy Development

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