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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

Nexus AI Solutions
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of responsible innovation as we shape the ethical future of artificial intelligence. We're seeking an AI Ethics Specialist to lead our framework development for autonomous systems and generative AI. This role bridges cutting-edge technology with human-centric values, ensuring our AI solutions advance society while safeguarding privacy, fairness, and transparency. Work alongside world-class researchers and engineers in our Austin hub to define industry standards that will influence the next decade of technological evolution.

Responsibilities

  • Develop and implement ethical governance frameworks for AI deployment across enterprise systems
  • Conduct algorithmic bias audits and mitigation strategies for machine learning models
  • Collaborate with product teams to embed ethical principles into AI development lifecycles
  • Lead stakeholder engagement sessions to align technical teams on ethical priorities
  • Produce regulatory compliance documentation for evolving AI governance landscapes
  • Research emerging ethical challenges in generative AI and autonomous systems
  • Train cross-functional teams on responsible AI practices and bias detection

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
  • 5+ years in AI ethics, policy development, or responsible AI implementation
  • Deep expertise in algorithmic fairness, privacy-preserving ML, and explainable AI
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong background in quantitative bias assessment methodologies
  • Proven ability to translate ethical principles into technical requirements
  • Excellent communication skills for bridging technical and non-technical audiences
  • Published research in AI ethics or adjacent fields

Required Skills

AI Ethics Machine Learning Algorithmic Fairness Regulatory Compliance Explainable AI Policy Development Bias Mitigation Governance Frameworks

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