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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Future Labs
Austin
Estimated Salary
USD 130.000 – USD 180.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of shaping responsible AI for 2026. We're seeking an AI Ethics & Governance Specialist to design frameworks that balance innovation with ethical boundaries in autonomous systems. This role bridges cutting-edge technology with societal impact, ensuring our AI solutions align with evolving global standards.

You'll collaborate with quantum computing teams, machine learning engineers, and policymakers to develop governance protocols for next-gen AI applications. Our Austin hub offers unparalleled resources for ethical AI research, including our proprietary Ethics Simulation Lab. If you're passionate about ensuring AI serves humanity responsibly, this is your moment to make history.

Responsibilities

  • Design and implement AI ethics frameworks for autonomous systems and generative AI
  • Develop governance protocols for quantum-AI hybrid systems
  • Conduct bias audits and impact assessments for AI deployment
  • Advocate for ethical AI standards with regulatory bodies and industry coalitions
  • Train cross-functional teams on responsible AI practices
  • Lead stakeholder workshops on AI ethics implementation
  • Monitor emerging ethical challenges in AI development

Qualifications

  • Master's degree in Ethics, Computer Science, or related field (Ph.D. preferred)
  • 3+ years in AI governance, responsible AI, or ethics compliance
  • Deep understanding of AI bias mitigation and fairness metrics
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong technical aptitude for AI system analysis
  • Expertise in stakeholder engagement and policy advocacy
  • Published work on AI ethics or governance (highly desirable)

Required Skills

AI Ethics Governance Regulatory Compliance Bias Mitigation Stakeholder Engagement Policy Development Quantum Computing Ethics Machine Learning Auditing

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