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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Future Labs
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development. We're pioneering responsible AI frameworks for 2026 and beyond. As our AI Ethics & Governance Specialist, you'll shape policies that balance innovation with human values in an era of rapid technological advancement.

This role offers unparalleled impact in defining how AI systems interact with society, ensuring our solutions remain transparent, fair, and aligned with evolving global standards. Collaborate with top-tier researchers, engineers, and policymakers to build the ethical backbone of tomorrow's digital ecosystem.

Responsibilities

  • Develop comprehensive AI ethics frameworks and governance protocols for 2026-era systems
  • Conduct bias audits and fairness assessments across machine learning models
  • Lead cross-functional working groups on AI transparency and explainability standards
  • Advocate for ethical AI principles in product development cycles and stakeholder communications
  • Monitor emerging regulations and global AI ethics benchmarks, updating policies accordingly
  • Design ethical impact assessments for high-stakes AI deployments
  • Train engineering teams on responsible AI implementation practices

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
  • 5+ years experience in AI governance, responsible AI, or ethics compliance
  • Deep understanding of EU AI Act, NIST AI RMF, and global regulatory landscapes
  • Expertise in bias mitigation techniques and fairness metrics for ML systems
  • Proven ability to translate complex ethical concepts into actionable policies
  • Experience with AI explainability tools and model interpretability frameworks
  • Certification in AI ethics or governance (e.g., CSEP, CAIGP) highly valued
  • Strong stakeholder management skills across technical and non-technical audiences

Required Skills

AI Ethics Governance Compliance Bias Mitigation Regulatory Affairs Machine Learning Explainable AI Policy Development Risk Assessment EU AI Act NIST AI RMF

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