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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Future Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development as our AI Ethics & Governance Lead. You will architect ethical frameworks for autonomous systems and shape industry standards for 2026's technological landscape. This role bridges cutting-edge AI innovation with human-centric principles, ensuring our solutions advance society while mitigating existential risks.

As a key member of our Future Strategy division, you'll collaborate with quantum computing researchers, neuroscientists, and policy experts to develop next-generation governance protocols. Your work will directly influence how humanity navigates the ethical challenges of AGI, biotech convergence, and neural interfaces.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026-era autonomous systems
  • Lead cross-functional audits of machine learning models for bias and fairness
  • Develop international standards for AI transparency and explainability
  • Partner with policy teams to shape regulatory responses to emerging technologies
  • Conduct scenario planning for existential risk mitigation in AGI development
  • Train technical teams on ethical AI deployment practices
  • Represent the company at global AI ethics summits and policy forums

Qualifications

  • PhD in AI Ethics, Philosophy, or related field with 5+ years applied experience
  • Proven track record designing governance frameworks for high-stakes AI systems
  • Deep expertise in bias mitigation and fairness metrics for ML models
  • Familiarity with global AI regulations (EU AI Act, NIST frameworks)
  • Experience publishing peer-reviewed research on AI alignment problems
  • Exceptional communication skills for translating complex ethical concepts
  • Background in biotech or neurotechnology ethics preferred
  • Ability to lead under uncertainty in rapidly evolving technological landscapes

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Machine Learning Audits Policy Development AGI Safety Explainable AI Biotech Ethics

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