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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Officer

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 220.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. As we pioneer solutions for 2026, we seek an AI Ethics Officer to shape the ethical frameworks governing tomorrow's intelligent systems. This pivotal role ensures our AI innovations align with human values while driving competitive advantage in the rapidly evolving tech landscape.

You'll architect governance policies for autonomous systems, conduct bias audits on machine learning models, and lead cross-functional ethics committees. If you're passionate at the intersection of technology and humanity, this is your chance to define the ethical DNA of future AI.

Responsibilities

  • Develop and implement AI ethics governance frameworks for 2026 product roadmaps
  • Conduct bias audits and fairness assessments on machine learning models
  • Lead cross-functional ethics committees with engineering, legal, and product teams
  • Create transparency protocols for autonomous decision-making systems
  • Advocate for ethical AI principles in stakeholder communications and public forums
  • Monitor emerging regulatory trends and adapt compliance strategies proactively
  • Mentor teams on responsible AI development practices

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or technology ethics leadership
  • Expertise in bias detection algorithms and fairness metrics
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience with stakeholder engagement across technical and non-technical audiences
  • Published work on AI ethics or demonstrated thought leadership
  • Certification in Responsible AI or Technology Ethics preferred

Required Skills

AI Ethics Machine Learning Governance Bias Detection Regulatory Compliance Stakeholder Communication Autonomous Systems Algorithmic Transparency

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