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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Officer - Shape Responsible AI for 2026

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus AI Labs at the forefront of ethical AI innovation. As we build the AI landscape of 2026, we seek a visionary AI Ethics Officer to define responsible AI frameworks that balance technological advancement with human values. You'll lead cross-functional initiatives to ensure our AI systems align with evolving societal norms, regulatory requirements, and ethical principles. This role offers the unique opportunity to shape industry standards while driving our mission to create AI that augments humanity.

Our dynamic team combines deep technical expertise with philosophical rigor, fostering an environment where ethics and innovation thrive. We offer competitive compensation, flexible work arrangements, and opportunities to present at global AI ethics conferences. If you're passionate about ensuring AI serves humanity responsibly, we want you on our team.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks for 2026 product roadmaps
  • Conduct ethical impact assessments for new AI technologies and deployments
  • Lead cross-functional working groups including engineers, policymakers, and domain experts
  • Establish transparent audit trails for AI decision-making processes
  • Create governance policies for bias mitigation and algorithmic fairness
  • Represent the company in global AI ethics forums and regulatory discussions
  • Design training programs for employees on responsible AI development

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI ethics, governance, or responsible AI implementation
  • Deep understanding of emerging AI regulations (EU AI Act, NIST AI RMF)
  • Proven ability to translate ethical principles into technical requirements
  • Experience with bias detection tools and fairness metrics in ML systems
  • Strong stakeholder management skills across technical and non-technical teams
  • Published work or thought leadership in AI ethics journals/conferences

Required Skills

AI Ethics Machine Learning Governance Algorithmic Fairness Regulatory Compliance Risk Assessment Stakeholder Engagement Policy Development Ethics Frameworks

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