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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Horizon Labs
Austin
Estimated Salary
USD 120.000 – USD 180.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Join Nexus Horizon Labs at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Specialist to shape the ethical frameworks guiding our 2026-era autonomous systems. You'll collaborate with cross-functional teams to ensure our AI innovations align with societal values, regulatory requirements, and human-centric design principles. This role offers the unique opportunity to pioneer ethical AI practices that will define the next generation of intelligent technologies.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for autonomous systems
  • Conduct bias audits and risk assessments for machine learning models
  • Lead stakeholder workshops on ethical AI principles with engineers, policymakers, and community representatives
  • Establish compliance protocols for evolving AI regulations (2026 horizon)
  • Design transparency mechanisms for high-stakes AI decision-making processes
  • Author whitepapers on emerging ethical challenges in generative AI
  • Mentor junior teams on responsible AI development practices

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
  • 5+ years experience in AI ethics, compliance, or governance roles
  • Deep understanding of EU AI Act, NIST AI Risk Framework, and emerging global regulations
  • Expertise in bias detection methodologies and fairness metrics
  • Proven ability to translate complex ethical concepts into actionable technical guidelines
  • Experience with participatory design methodologies involving diverse stakeholders
  • Strong publication record in AI ethics or responsible innovation
  • Proficiency in Python for algorithmic bias analysis

Required Skills

AI Ethics Governance Compliance Risk Assessment Bias Mitigation Stakeholder Engagement Policy Development Machine Learning Audits

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