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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI innovation as we redefine the boundaries of responsible technology. As an AI Ethics Strategist, you'll architect governance frameworks that balance groundbreaking AI capabilities with human-centric values. Lead cross-functional teams to embed ethical principles into AI lifecycles while shaping industry standards that will define the 2026 digital landscape.

We're seeking visionary thinkers who thrive at the intersection of technology and philosophy. This role offers unparalleled influence in shaping how AI systems interact with society, ethics, and global communities.

Responsibilities

  • Design and implement AI ethics frameworks aligned with UN Sustainable Development Goals
  • Conduct bias audits and impact assessments for generative AI systems
  • Collaborate with product teams to embed ethical safeguards in AI development pipelines
  • Develop transparent AI governance documentation for regulatory compliance
  • Lead stakeholder workshops to align cross-functional teams on ethical priorities
  • Monitor emerging AI ethics legislation and adapt organizational strategies proactively
  • Author thought leadership on responsible AI adoption for industry conferences

Qualifications

  • PhD or Master's in Philosophy, Ethics, Computer Science, or related field
  • 5+ years in AI governance, compliance, or responsible technology roles
  • Expertise in bias mitigation techniques for machine learning systems
  • Published research on AI ethics or demonstrated thought leadership
  • Proficiency with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Experience with ethical AI auditing tools and methodologies
  • Exceptional communication skills for technical and non-technical audiences
  • Portfolio demonstrating ethical AI implementations

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Ethical Framework Design Stakeholder Communication NIST AI RMF EU AI Act

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