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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Labs at the forefront of shaping ethical AI frameworks for 2026. We're seeking a visionary AI Ethics Research Lead to architect responsible AI systems that balance innovation with human values. You'll lead groundbreaking research on bias mitigation, transparency protocols, and societal impact assessments while collaborating with elite teams deploying next-generation AI solutions.

This role offers unparalleled influence in defining how AI evolves over the next decade, with direct access to C-suite executives and policymakers. If you're passionate about ensuring technology serves humanity ethically, this is your opportunity to shape the future.

Responsibilities

  • Design and implement ethical frameworks for generative AI systems deployed in high-stakes industries
  • Lead cross-functional teams in conducting bias audits and fairness assessments
  • Develop policy recommendations for AI governance and regulatory compliance
  • Author whitepapers and industry standards for responsible AI deployment
  • Partner with product teams to embed ethical safeguards into AI development pipelines
  • Represent Nexus Labs at global forums on AI ethics and policy

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years of AI ethics experience
  • Proven track record publishing peer-reviewed research on algorithmic bias or AI transparency
  • Expertise in developing ethical frameworks for generative AI or large language models
  • Experience collaborating with regulatory bodies on AI policy development
  • Exceptional communication skills with ability to translate complex concepts for diverse audiences
  • Deep understanding of emerging AI regulations (EU AI Act, NIST frameworks)
  • Portfolio demonstrating measurable impact on AI system design or policy

Required Skills

AI Ethics Generative AI Algorithmic Bias Policy Development Research Methodology Regulatory Compliance Strategic Planning

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