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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist - 2026 Futures

Nexus Horizons Inc.
Austin
Estimated Salary
USD 175.000 – USD 225.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Horizons Inc. at the forefront of ethical AI innovation as we shape responsible technology for 2026 and beyond. We're seeking visionary AI Ethicists to guide our next-generation autonomous systems, ensuring alignment with human values and societal well-being. This pivotal role bridges cutting-edge AI development with profound ethical frameworks, enabling breakthroughs that benefit humanity while mitigating risks. Work alongside world-class researchers in our Austin hub, where innovation meets purpose.

Responsibilities

  • Develop and implement ethical governance frameworks for autonomous systems and generative AI models
  • Conduct bias audits and risk assessments for AI deployment across healthcare, finance, and urban infrastructure
  • Collaborate with product teams to embed ethical-by-design principles throughout the development lifecycle
  • Lead stakeholder dialogues with policymakers, industry consortiums, and academic institutions on AI ethics standards
  • Establish real-time monitoring systems for ethical compliance in production AI environments
  • Author whitepapers and position papers on emerging ethical dilemmas in 2026 technology landscapes

Qualifications

  • Advanced degree in Philosophy, Computer Science, Ethics, or related field with specialization in AI ethics
  • 5+ years experience in AI governance, responsible AI implementation, or technology ethics roles
  • Deep expertise in bias mitigation, fairness metrics, and explainable AI techniques
  • Proven track record of developing ethical frameworks for autonomous systems or generative AI
  • Strong understanding of emerging regulations (EU AI Act, NIST AI RMF) and global ethical standards
  • Exceptional communication skills for translating complex ethical concepts to technical teams
  • Experience with participatory design methodologies involving diverse stakeholder groups

Required Skills

AI Ethics Bias Mitigation Explainable AI Governance Frameworks Autonomous Systems Generative AI Risk Assessment Stakeholder Engagement

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