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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

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

Job Description

Join Nexus Future Labs at the forefront of ethical AI development. We're seeking an AI Ethics & Governance Specialist to shape responsible AI frameworks for our 2026 product roadmap. This role bridges cutting-edge technology with human-centric values, ensuring our innovations align with global ethical standards while driving business impact. You'll collaborate with cross-functional teams to embed fairness, transparency, and accountability into AI systems that will define the next generation of human-machine interaction.

Responsibilities

  • Develop and implement AI ethics governance frameworks for autonomous systems and predictive analytics
  • Conduct bias audits and impact assessments for machine learning models using advanced statistical methods
  • Design compliance protocols for emerging AI regulations (EU AI Act, NIST frameworks)
  • Lead stakeholder workshops to align technical teams on ethical AI principles
  • Author transparency reports and explainability documentation for high-stakes AI decisions
  • Monitor global AI policy developments and translate insights into actionable strategies
  • Mentor junior engineers on responsible AI development practices

Qualifications

  • Master's degree in Computer Science, Ethics, Policy, or related field (PhD preferred)
  • 5+ years in AI governance, compliance, or ethics with proven regulatory impact
  • Expertise in bias mitigation techniques and fairness metrics (AIF360, IBM Fairness 360)
  • Deep understanding of global AI regulations and industry standards
  • Strong technical aptitude with Python and experience auditing ML pipelines
  • Exceptional communication skills for translating complex ethics concepts to diverse audiences
  • Published research or whitepapers on AI ethics or governance

Required Skills

AI Ethics Governance Compliance Bias Mitigation Regulatory Affairs Machine Learning Audits Explainable AI Policy Development

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