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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Futures Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the ethical backbone of tomorrow's AI revolution at Nexus Futures Inc. As we pioneer 2026's most transformative technologies, we seek a visionary leader to ensure our innovations align with humanity's best interests. Join our interdisciplinary team in Austin, TX, where cutting-edge AI meets responsible governance. You'll architect frameworks that balance innovation with ethical integrity, directly influencing how autonomous systems, predictive analytics, and neural interfaces shape our collective future. This role offers unparalleled impact at the intersection of technology and human values.

Responsibilities

  • Design and implement comprehensive AI ethics frameworks for autonomous systems and predictive analytics
  • Lead cross-functional audits of machine learning models for bias, fairness, and transparency
  • Develop governance policies for neural interface technologies and biometric data usage
  • Collaborate with policymakers to shape industry standards for 2026-era AI deployment
  • Train engineering teams on ethical AI development practices and risk mitigation
  • Stakeholder engagement with regulators, academia, and civil society organizations
  • Establish real-time monitoring systems for algorithmic accountability

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field with 5+ years experience
  • Proven expertise in AI ethics frameworks (e.g., EU AI Act, NIST RMF)
  • Deep understanding of quantum computing implications for algorithmic ethics
  • Experience with federated learning and differential privacy techniques
  • Published research on autonomous system governance or human-AI interaction
  • Strong background in risk assessment for emerging technologies
  • Certification in AI governance (e.g., CEGAI, AIGP)
  • Experience working with regulatory bodies on tech policy development

Required Skills

AI Ethics Machine Learning Governance Quantum Computing Algorithmic Bias Neural Interfaces Risk Assessment Policy Development Federated Learning

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