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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Officer

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development. As our AI Ethics Officer, you'll shape the responsible integration of artificial intelligence into our 2026 product ecosystem. This pivotal role requires a visionary leader who can balance technological innovation with ethical integrity, ensuring our AI systems align with global standards and societal values. You'll collaborate with cross-functional teams to develop frameworks that preempt ethical risks while driving sustainable innovation. If you're passionate about building a future where technology serves humanity, this is your opportunity to make a transformative impact.

Responsibilities

  • Design and implement AI ethics frameworks aligned with 2026 regulatory landscapes
  • Conduct proactive ethical risk assessments for AI-driven products and services
  • Lead cross-functional ethics committees with engineers, legal, and product teams
  • Develop transparent AI governance policies for internal and stakeholder communication
  • Research emerging ethical challenges in AI and propose mitigation strategies
  • Partner with compliance teams to ensure adherence to evolving global AI standards
  • Educate stakeholders on ethical AI principles and best practices

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
  • 5+ years in AI ethics, compliance, or responsible technology governance
  • Expertise in frameworks like EU AI Act, NIST AI Risk Management Framework
  • Deep understanding of bias mitigation and fairness in ML systems
  • Proven experience developing corporate AI ethics policies
  • Strong analytical skills with ability to translate complex ethical concepts
  • Certification in AI ethics or responsible AI (e.g., IBM AI Ethics, Google AI Principles)

Required Skills

AI Ethics Governance Risk Management Regulatory Compliance Machine Learning Ethics Policy Development Bias Mitigation Stakeholder Communication

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