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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
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Lead to shape ethical frameworks for autonomous systems in 2026 and beyond. This pivotal role bridges cutting-edge AI research with societal impact, ensuring our innovations prioritize human values, fairness, and transparency.

As part of our cross-functional AI Strategy team, you'll design governance protocols for next-generation neural networks, audit algorithmic biases, and collaborate with policymakers to establish industry standards. If you're passionate about democratizing AI benefits while mitigating existential risks, this is your opportunity to redefine technological progress.

Responsibilities

  • Develop comprehensive ethical governance frameworks for generative AI and autonomous systems
  • Conduct bias audits and fairness assessments across AI training datasets and models
  • Design transparent explainability protocols for complex neural networks
  • Lead cross-functional workshops aligning engineering teams with ethical guidelines
  • Represent Nexus Future Labs in AI policy coalitions and regulatory discussions
  • Implement continuous monitoring systems for AI system compliance with evolving standards
  • Author white papers on responsible AI adoption for industry conferences

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI governance, algorithmic auditing, or responsible tech roles
  • Expertise in bias detection techniques for large language models
  • Deep understanding of EU AI Act, NIST AI RMF, and emerging global regulations
  • Proven ability to translate ethical principles into technical requirements
  • Experience with interdisciplinary teams (engineers, legal, social scientists)
  • Published work in AI ethics or technology policy (preferred)
  • Strong background in quantitative bias measurement methods

Required Skills

AI Ethics Algorithmic Governance Bias Auditing Explainable AI Regulatory Compliance Neural Networks Policy Development Ethical AI Frameworks

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