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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Shape the future of responsible AI as Nexus Horizon Labs seeks an AI Ethics Strategist to lead our 2026 initiatives. Join our pioneering team at the intersection of technology and humanity, where you'll architect ethical frameworks for next-generation autonomous systems. This role demands visionary leadership in developing governance policies that balance innovation with human-centric values, ensuring our AI solutions advance society equitably.

You'll collaborate with C-suite executives, research scientists, and policy makers to embed ethical principles into product lifecycles. Our competitive package includes equity, wellness stipends, and dedicated innovation time for thought leadership.

Responsibilities

  • Design and implement AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional ethics audits for autonomous systems and generative AI
  • Develop bias mitigation protocols for machine learning pipelines
  • Conduct stakeholder workshops to align ethical priorities with business objectives
  • Author thought leadership publications on AI governance and societal impact
  • Partner with legal teams to ensure compliance with emerging AI legislation
  • Mentor junior researchers on responsible AI development practices

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF)
  • Published research on algorithmic bias or explainable AI
  • Proficiency in Python and ML model interpretability tools
  • Experience with cross-cultural ethics assessment methodologies
  • Track record of influencing corporate AI policy development
  • Certification in AI Ethics (e.g., IEEE, ACM)

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Explainable AI Algorithmic Bias Policy Development Stakeholder Engagement Cross-cultural Ethics

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