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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Future Systems at the forefront of responsible AI innovation. As we pioneer next-generation autonomous systems for 2026, we seek an AI Ethics Specialist to ensure our technologies align with human values, societal norms, and global compliance standards. You'll shape ethical frameworks for cutting-edge AI applications while collaborating with world-class engineers and policymakers. This role offers unparalleled impact in defining the future of human-AI symbiosis.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous decision-making systems
  • Conduct bias audits and fairness assessments across AI training datasets and algorithms
  • Develop transparency protocols for explainable AI (XAI) in high-stakes applications
  • Lead cross-functional ethics reviews for product launches and feature updates
  • Advocate for ethical AI standards in industry coalitions and regulatory discussions
  • Monitor emerging ethical challenges in AI deployment and propose mitigation strategies
  • Train engineering teams on responsible AI development practices

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics, responsible AI, or technology governance roles
  • Expertise in bias mitigation techniques and fairness metrics for ML models
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience with explainable AI (XAI) and algorithmic transparency tools
  • Strong background in policy development and stakeholder engagement
  • Certification in AI ethics or responsible AI (e.g., IBM, Google)
  • Portfolio demonstrating ethical AI impact in production systems

Required Skills

AI Ethics Machine Learning Governance Explainable AI Bias Mitigation Regulatory Compliance Policy Development Stakeholder Engagement Algorithmic Transparency

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