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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Specialist to shape the ethical frameworks for our 2026 quantum computing initiatives. This role bridges cutting-edge technology with human-centric principles, ensuring our innovations align with global ethical standards while maintaining competitive advantage in the rapidly evolving AI landscape.

You'll collaborate with cross-functional teams to develop robust governance protocols, conduct bias audits, and establish transparent AI accountability mechanisms. The ideal candidate thrives at the intersection of technology, policy, and social impact, helping us build AI systems that are both revolutionary and responsibly deployed.

Responsibilities

  • Design and implement ethical governance frameworks for AI/quantum systems
  • Conduct bias audits and fairness assessments on AI models
  • Develop transparency protocols for automated decision-making processes
  • Create compliance strategies for evolving AI regulations (EU AI Act, US AI Bill of Rights)
  • Lead cross-functional ethics committees and stakeholder engagement
  • Document ethical risk assessments and mitigation plans
  • Advise product teams on ethical AI implementation

Qualifications

  • Master's degree in Ethics, Philosophy, Law, Computer Science, or related field
  • 3+ years in AI governance, ethics compliance, or responsible tech roles
  • Expertise in regulatory frameworks (GDPR, NIST AI RMF, EU AI Act)
  • Strong understanding of bias mitigation techniques in ML systems
  • Experience developing organizational ethics policies
  • Excellent written/verbal communication with technical/non-technical audiences
  • Certification in AI ethics (e.g., IBM AI Ethics, Google Responsible AI)

Required Skills

AI Ethics Governance Compliance Risk Assessment Bias Mitigation Regulatory Frameworks Stakeholder Engagement Policy Development Machine Learning Auditing

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