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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Officer

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI innovation. We're seeking a visionary AI Ethics Officer to shape our 2026 technology roadmap and ensure our AI systems align with human values, regulatory standards, and societal impact. This pivotal role bridges cutting-edge AI development with ethical governance, driving our mission to create technology that elevates humanity.

As a key member of our executive leadership team, you'll architect ethical frameworks for autonomous systems, conduct bias audits of machine learning models, and pioneer industry standards for AI transparency. You'll collaborate with cross-functional teams from engineering to policy, ensuring every AI decision reflects our commitment to equity, accountability, and sustainable innovation.

Responsibilities

  • Design and implement comprehensive AI ethics frameworks for 2026 product roadmap
  • Lead bias audits and fairness assessments across ML models and datasets
  • Develop corporate policies for responsible AI deployment and human oversight
  • Stakeholder engagement with regulators, NGOs, and industry ethics boards
  • Create transparency protocols for explainable AI systems
  • Train engineering teams on ethical AI development practices
  • Conduct scenario planning for emerging AI risks and societal impacts

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or ethics leadership role
  • Expertise in AI bias mitigation and fairness metrics (e.g., disparate impact analysis)
  • Deep understanding of EU AI Act, NIST AI RMF, and global AI regulations
  • Experience with cross-functional AI ethics implementation
  • Published research in AI ethics or responsible technology (preferred)
  • Certification in AI Ethics (e.g., IEEE Certifications, EIT Digital)

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Explainable AI Risk Assessment Policy Development Stakeholder Engagement

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