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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Future Labs
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the ethical future of artificial intelligence at Nexus Future Labs. We're seeking an AI Ethics & Governance Specialist to develop responsible frameworks for emerging technologies that will define 2026 and beyond. Join our interdisciplinary team of visionaries to ensure AI innovation aligns with human values, regulatory compliance, and sustainable development.

Why Nexus? We're pioneering the next wave of human-AI collaboration, offering competitive equity packages, flexible work arrangements, and the opportunity to influence global tech policy. Our San Francisco hub combines cutting-edge research with real-world impact.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems and generative models
  • Conduct bias audits and risk assessments for AI deployed in high-stakes industries
  • Develop industry standards for transparent AI decision-making processes
  • Collaborate with policymakers on regulatory strategies for 2026-era AI legislation
  • Lead cross-functional workshops on responsible AI adoption with engineering teams
  • Monitor global AI ethics trends and emerging regulatory landscapes
  • Create educational materials for stakeholders on AI accountability principles

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or ethical technology development
  • Expertise in NIST AI RMF, EU AI Act, and emerging regulatory frameworks
  • Proven experience designing bias mitigation strategies for ML systems
  • Strong background in participatory design methodologies for ethical tech
  • Published research or practical applications in AI ethics (preferred)
  • Ability to translate technical concepts for non-technical stakeholders

Required Skills

AI Ethics Governance Regulatory Compliance NIST AI RMF Bias Mitigation Policy Development Machine Learning Ethics Participatory Design

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