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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 140.000 – USD 200.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI innovation. We're seeking a visionary AI Ethics Strategist to shape responsible AI frameworks for 2026 and beyond. Lead cross-functional teams in developing governance models that balance technological advancement with human values. Your expertise will directly influence how AI systems impact society, ensuring alignment with ethical principles while driving cutting-edge solutions.

This hybrid role offers unparalleled opportunities to pioneer next-gen ethical AI protocols, collaborate with global thought leaders, and leave an indelible mark on the future of technology. Enjoy comprehensive benefits, flexible work arrangements, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement AI ethics governance frameworks for autonomous systems
  • Lead stakeholder workshops to align technical teams on ethical priorities
  • Conduct bias audits and impact assessments for AI deployments
  • Develop industry standards for transparent algorithmic decision-making
  • Advise executive leadership on ethical implications of AI initiatives
  • Collaborate with legal teams to ensure regulatory compliance
  • Mentor junior researchers in ethical AI methodologies

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI governance or responsible tech development
  • Proven expertise in bias mitigation and fairness metrics
  • Deep understanding of global AI regulatory landscapes (EU AI Act, etc.)
  • Exceptional communication skills for technical and non-technical audiences
  • Published research in AI ethics or responsible AI frameworks
  • Experience with cross-functional ethical risk assessment processes

Required Skills

AI Ethics Governance Bias Mitigation Regulatory Compliance Stakeholder Engagement Algorithmic Transparency Risk Assessment

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