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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics and Governance Specialist

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

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're pioneering ethical frameworks for autonomous systems that will shape the 2026 digital landscape. As an AI Ethics and Governance Specialist, you'll ensure our AI innovations align with human values while driving technological advancement.

Our multidisciplinary team combines cutting-edge research with practical implementation to create AI solutions that benefit humanity. You'll collaborate with engineers, policymakers, and domain experts to develop robust governance protocols for next-generation AI applications.

Responsibilities

  • Design and implement AI ethics frameworks for autonomous systems deployed in healthcare, finance, and critical infrastructure
  • Conduct algorithmic bias audits and mitigation strategies for enterprise-scale AI models
  • Develop compliance protocols for evolving AI regulations (EU AI Act, US AI Bill of Rights)
  • Create transparency documentation for explainable AI systems using SHAP/LIME methodologies
  • Lead cross-functional ethics committees to evaluate high-impact AI use cases
  • Advocate for responsible AI adoption through stakeholder education and policy development

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, or related field with 3+ years in AI governance
  • Expertise in algorithmic bias detection and fairness metrics (AIF360, Fairlearn)
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST AI RMF)
  • Experience with MLOps pipelines and responsible AI implementation
  • Strong background in ethical theory and applied philosophy
  • Certification in AI ethics (e.g., IEEE, IBM) or equivalent practical experience
  • Published research in AI ethics or governance preferred

Required Skills

AI Ethics Algorithmic Bias Explainable AI Regulatory Compliance MLOps Ethical AI Frameworks Stakeholder Education Policy Development

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