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AI Ethics Research Lead 2026

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development. We're seeking an AI Ethics Research Lead 2026 to shape responsible AI frameworks for the next generation. This pivotal role bridges cutting-edge AI research with ethical governance, ensuring our innovations align with human values and societal impact.

In this position, you'll lead a multidisciplinary team developing ethical guidelines for autonomous systems, predictive analytics, and generative AI. You'll collaborate with engineers, policymakers, and ethicists to create industry standards that prioritize transparency, fairness, and accountability in AI deployments.

Responsibilities

  • Design and implement ethical frameworks for AI systems deployed in critical infrastructure
  • Lead cross-functional teams in bias mitigation and fairness audits of ML models
  • Develop policy recommendations for regulatory compliance with evolving AI governance standards
  • Conduct research on societal impacts of emerging AI technologies (2026-2030 horizon)
  • Create educational materials for internal teams and external stakeholders on responsible AI practices
  • Partner with academic institutions to advance ethical AI research methodologies
  • Represent the company at international AI ethics forums and policy summits

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Published research in top-tier journals on AI governance or algorithmic fairness
  • Proven experience developing ethical guidelines for enterprise AI systems
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks, etc.)
  • Expertise in bias detection techniques and fairness metrics for ML models
  • Exceptional communication skills for translating complex ethical concepts to diverse audiences
  • Experience leading multidisciplinary research teams with technical and non-technical members

Required Skills

AI Ethics Machine Learning Governance Algorithmic Fairness AI Policy Development Research Leadership Ethical Framework Design Regulatory Compliance

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