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AI Ethics & Governance Specialist

Nexus Horizons
Austin
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Horizons at the forefront of responsible AI innovation in 2026. We're seeking an AI Ethics & Governance Specialist to shape the future of ethical technology deployment. You'll architect robust frameworks for AI accountability, ensuring our autonomous systems align with human values and regulatory standards. Work alongside world-class engineers and policymakers to implement bias mitigation protocols, transparency measures, and ethical governance protocols across our AI ecosystem. This role combines deep technical knowledge with strategic foresight to navigate the complex landscape of emerging AI regulations.

Why Nexus Horizons?

  • Lead industry-defining AI ethics initiatives
  • Competitive equity package in a pre-IPO growth stage company
  • Collaborate with federal AI task force advisors
  • Access to cutting-edge AI research facilities

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with emerging 2026 regulations
  • Conduct algorithmic bias audits across AI systems using advanced bias detection tools
  • Design transparency protocols for autonomous decision-making systems
  • Partner with engineering teams to embed ethical safeguards in AI development lifecycles
  • Advise leadership on ethical AI deployment strategies and regulatory compliance
  • Lead cross-functional ethics review boards for high-impact AI projects
  • Produce comprehensive ethics impact assessments for new AI technologies

Qualifications

  • Master's degree in Ethics, Computer Science, Law, or related field (PhD preferred)
  • 3+ years experience in AI governance, algorithmic auditing, or ethics compliance
  • Deep understanding of NIST AI RMF, EU AI Act, and emerging global AI regulations
  • Proficiency in bias detection tools (IBM AI Fairness 360, Google What-If Tool)
  • Experience developing organizational AI ethics policies and implementation guides
  • Strong background in machine learning model interpretability techniques
  • Exceptional communication skills for presenting complex ethical concepts to diverse stakeholders

Required Skills

AI Ethics Governance Algorithmic Auditing Bias Mitigation Regulatory Compliance NIST AI RMF EU AI Act Machine Learning Interpretability

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