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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist 2026

Nexus Horizons
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Horizons at the forefront of responsible AI development as we pioneer ethical frameworks for 2026 and beyond. As an AI Ethics Strategist, you'll shape the future of human-centered technology while ensuring compliance with emerging global regulations. Our team operates at the intersection of innovation and integrity, offering unparalleled opportunities to influence industry standards.

We're seeking visionary professionals who understand that sustainable AI requires proactive governance. This hybrid role combines strategic foresight with hands-on implementation, offering competitive compensation and comprehensive benefits including equity options and wellness stipends.

Responsibilities

  • Develop comprehensive AI ethics roadmaps aligned with 2026 regulatory landscapes
  • Lead cross-functional audits of algorithmic bias and fairness metrics
  • Design governance frameworks for autonomous systems and generative AI
  • Collaborate with product teams on ethical-by-design implementation
  • Produce thought leadership on emerging ethical challenges in AI
  • Advocate for inclusive AI development practices across global teams
  • Monitor and respond to evolving international AI policy developments

Qualifications

  • Advanced degree in Ethics, Philosophy, Law, Computer Science, or related field
  • 5+ years in AI governance, ethics, or responsible tech development
  • Expertise in bias detection methodologies and fairness metrics
  • Deep understanding of GDPR, EU AI Act, and upcoming US regulations
  • Proven ability to translate ethical principles into technical requirements
  • Experience with stakeholder engagement across technical and non-technical audiences
  • Publication record in AI ethics or demonstrated thought leadership
  • Proficiency with MLOps tools and AI development lifecycle

Required Skills

AI Ethics Algorithmic Bias Governance Frameworks Regulatory Compliance Responsible AI Policy Development MLOps Stakeholder Engagement Generative AI Risk Assessment

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