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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development. We're seeking an AI Ethics & Governance Specialist to design frameworks that ensure responsible AI deployment in 2026 and beyond. This role bridges cutting-edge technology with societal impact, shaping how autonomous systems, predictive analytics, and generative AI serve humanity ethically.

You'll collaborate with cross-functional teams to audit AI models, develop bias mitigation protocols, and establish compliance standards for next-gen AI applications. The ideal candidate thrives at the intersection of technology, policy, and social responsibility.

Responsibilities

  • Design and implement AI ethics governance frameworks for enterprise-level machine learning systems
  • Conduct bias audits and fairness assessments across predictive models and generative AI
  • Develop compliance protocols for evolving AI regulations (EU AI Act, US AI Bill of Rights)
  • Lead stakeholder workshops on responsible AI deployment with engineers, legal, and product teams
  • Author transparency reports documenting AI decision-making processes
  • Research emerging ethical challenges in quantum computing and neuromorphic systems

Qualifications

  • Masters or PhD in Computer Science, Ethics, Policy, or related field
  • 5+ years in AI governance, ML fairness, or tech ethics roles
  • Expertise in bias detection tools (IBM AI Fairness 360, Google What-If Tool)
  • Deep understanding of global AI regulatory landscapes
  • Experience developing ethical AI guidelines for autonomous systems
  • Strong communication skills for technical and non-technical audiences
  • Published work in AI ethics or responsible AI journals preferred

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Regulatory Compliance AI Auditing Stakeholder Communication Predictive Modeling Generative AI Ethics

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