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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist - 2026 Vision

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development as we shape the ethical frameworks for 2026 and beyond. We're seeking a visionary AI Ethics Strategist to guide our research teams in developing transparent, equitable, and human-centered AI systems. This role bridges cutting-edge technology with profound societal impact, ensuring our innovations align with humanity's best interests.

As a key architect of our ethical AI roadmap, you'll collaborate with world-class researchers, engineers, and policy experts to create governance frameworks that balance innovation with accountability. You'll influence how billions interact with AI in the next decade while championing diversity, privacy, and human rights in every algorithmic decision.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 product roadmaps
  • Lead cross-functional audits of AI systems for bias, fairness, and transparency
  • Develop predictive models for societal impact of emerging AI technologies
  • Create educational materials for internal teams on responsible AI practices
  • Advocate for ethical standards in industry-wide AI development initiatives
  • Partner with policy teams to shape future AI regulations and compliance standards

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI ethics, responsible AI, or technology policy roles
  • Expertise in bias mitigation techniques and fairness metrics for ML systems
  • Published research on AI ethics or technology's societal impact
  • Experience with regulatory frameworks (GDPR, EU AI Act, etc.)
  • Exceptional communication skills for translating complex ethics concepts
  • Portfolio demonstrating applied AI ethics projects

Required Skills

AI Ethics Responsible AI Machine Learning Governance Bias Mitigation Technology Policy Ethical Framework Design Societal Impact Assessment Regulatory Compliance

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