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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI innovation as we prepare for the technological landscape of 2026. We're seeking a visionary AI Ethics & Governance Lead to shape responsible AI frameworks that balance technological advancement with human-centric values. In this pivotal role, you'll architect policies ensuring our AI systems align with societal norms while driving breakthroughs in machine learning and automation.

Why Nexus Future Labs?

We're a pioneering research institute dedicated to developing ethical AI solutions for 2026's complex challenges. Our interdisciplinary team combines expertise in quantum computing, neuroscience, and sustainable technology to create AI that benefits humanity. Enjoy cutting-edge resources, flexible work arrangements, and the opportunity to influence global AI standards.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 technological capabilities
  • Lead cross-functional teams in implementing bias mitigation strategies across AI pipelines
  • Partner with legal and policy experts to establish industry-first governance standards
  • Conduct audits of AI systems using advanced explainability tools and fairness metrics
  • Drive stakeholder engagement through transparent communication of ethical risks
  • Research emerging ethical challenges in generative AI and autonomous systems
  • Author whitepapers and position papers on responsible AI adoption

Qualifications

  • Master's degree in Computer Science, Ethics, Law, or related field (PhD preferred)
  • 8+ years in AI governance, ethics, or policy development
  • Proven expertise in implementing bias detection algorithms and fairness metrics
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience leading cross-functional technical and non-technical teams
  • Strong background in machine learning model lifecycle management
  • Exceptional communication skills for translating complex ethical concepts
  • Published work in AI ethics or technology policy journals

Required Skills

AI Ethics Governance Machine Learning Bias Mitigation Explainable AI Policy Development Risk Assessment Stakeholder Management

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