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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics and Governance Specialist

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI innovation as we shape the responsible future of artificial intelligence. We seek a visionary AI Ethics and Governance Specialist to design and implement frameworks ensuring AI systems align with human values, regulatory compliance, and societal impact. This role bridges cutting-edge technology with ethical foresight, driving our mission to deploy AI that benefits humanity while mitigating risks in 2026's evolving landscape.

Responsibilities

  • Develop and enforce AI ethics policies, governance protocols, and risk mitigation frameworks
  • Conduct bias audits and impact assessments for high-stakes AI deployments
  • Collaborate with engineering teams to embed ethical safeguards in AI development lifecycles
  • Advocate for transparency and explainability in AI decision-making systems
  • Monitor global regulatory trends and adapt governance strategies for emerging AI technologies
  • Lead stakeholder engagements on AI ethics initiatives across departments
  • Drive continuous improvement of ethical AI practices through research and benchmarking

Qualifications

  • Master's degree in Ethics, Computer Science, Law, or related field (PhD preferred)
  • 5+ years in AI ethics, compliance, or governance with proven impact
  • Deep expertise in AI fairness, accountability, and transparency (FAT) principles
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF, etc.)
  • Strong technical literacy in machine learning pipelines and data ecosystems
  • Exceptional communication skills for translating complex concepts to diverse audiences
  • Published research or thought leadership in AI ethics or responsible AI
  • Proficiency in ethical assessment tools and bias detection methodologies

Required Skills

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

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