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AI Ethics Lead - 2026 Vision

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development for 2026. We're seeking an AI Ethics Lead to shape responsible AI frameworks that will define the next generation of intelligent systems. As a pioneer in human-centered technology, you'll guide our mission to create AI solutions that prioritize equity, transparency, and societal impact. This role offers unparalleled influence in shaping how AI evolves over the coming decade.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional teams in auditing AI systems for bias, fairness, and transparency
  • Collaborate with policymakers to shape emerging AI governance standards
  • Design stakeholder engagement protocols for diverse community impact assessments
  • Create ethics-by-design protocols for next-gen AI product development
  • Establish KPIs for measuring long-term societal impact of AI deployments
  • Mentor junior researchers on ethical AI methodologies and future-forward thinking

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Proven track record in designing governance frameworks for high-stakes AI systems
  • Deep expertise in bias mitigation techniques for machine learning models
  • Familiarity with emerging AI regulations (EU AI Act, NIST frameworks)
  • Exceptional ability to translate complex ethical concepts into actionable policies
  • Experience with participatory design methodologies for diverse stakeholder groups
  • Published research on AI ethics or responsible technology adoption
  • Strong background in predictive modeling and algorithmic transparency

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Regulatory Compliance Stakeholder Engagement Participatory Design Predictive Modeling Algorithmic Transparency

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