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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Officer

NexusAI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Join NexusAI at the forefront of technological innovation as we shape the ethical foundations of tomorrow's AI landscape. We're seeking a visionary AI Ethics Officer to ensure our cutting-edge AI systems align with human values, regulatory standards, and societal impact. This pivotal role combines technical acumen with philosophical rigor to define the ethical boundaries of autonomous systems.

In this high-impact position, you'll collaborate with cross-functional teams to embed ethical frameworks into our product lifecycle, conduct bias audits, and pioneer responsible AI practices. You'll be the guardian of our moral compass in an era of unprecedented technological advancement.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with global regulations (GDPR, EU AI Act)
  • Conduct algorithmic bias audits across machine learning models and datasets
  • Design ethical impact assessments for new AI product deployments
  • Lead cross-functional ethics committees with engineers, product managers, and legal teams
  • Establish transparent AI governance protocols and reporting mechanisms
  • Advocate for ethical AI principles in industry forums and regulatory discussions
  • Train stakeholders on ethical AI implementation and risk mitigation

Qualifications

  • Advanced degree in Computer Science, Philosophy, Ethics, or related field (PhD preferred)
  • 5+ years experience in AI governance, responsible AI, or ethics compliance
  • Deep understanding of machine learning bias mitigation techniques
  • Expertise in global AI regulations and ethical frameworks
  • Exceptional communication skills for translating complex concepts to diverse audiences
  • Published work in AI ethics or related academic journals
  • Experience with AI system auditing and impact assessment tools

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Auditing Regulatory Compliance Ethical AI Frameworks Risk Assessment Stakeholder Communication AI Policy Development

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