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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist 2026

Nexus Futures
Austin
Estimated Salary
USD 140.000 – USD 190.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Futures at the forefront of responsible AI development. We're seeking an AI Ethicist to shape the ethical frameworks that will govern artificial intelligence through 2026 and beyond. You'll collaborate with cross-functional teams to ensure our AI solutions align with evolving societal values while driving technological innovation.

This role requires a visionary who can navigate the complex intersection of emerging technologies and human ethics. You'll pioneer methodologies for bias mitigation, transparency protocols, and accountability systems that will set industry standards for the next generation of AI.

Responsibilities

  • Develop and implement ethical governance frameworks for AI systems deployed in 2026
  • Conduct bias audits and fairness assessments across machine learning models
  • Create transparency documentation for automated decision-making processes
  • Lead stakeholder consultations on AI ethics with policymakers and industry consortiums
  • Design audit protocols for AI systems in high-stakes domains (healthcare, finance, autonomous systems)
  • Proactively identify emerging ethical challenges in generative AI and predictive analytics
  • Mentor cross-functional teams on responsible AI development practices

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years experience
  • Proven expertise in bias mitigation techniques for machine learning systems
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Experience developing ethical guidelines for generative AI or autonomous systems
  • Strong background in participatory design methodologies with diverse stakeholder groups
  • Publishing record in AI ethics or responsible technology journals
  • Certification in AI governance (e.g., IEEE Ethically Aligned Design)

Required Skills

AI Ethics Machine Learning Bias Mitigation Regulatory Compliance Generative AI Stakeholder Engagement Governance Frameworks NIST Standards

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