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AI Ethics Research Lead (2026)

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the ethical future of artificial intelligence at Nexus Future Labs. We're seeking a visionary AI Ethics Research Lead to define responsible AI frameworks for 2026 and beyond. Join our multidisciplinary team at the forefront of technological innovation, where your work will directly influence global AI policy and industry standards. This hybrid role combines cutting-edge research with practical implementation in a collaborative, future-focused environment.

As a pioneer in ethical AI, you'll develop governance frameworks that balance innovation with societal impact. Our Austin-based hub offers state-of-the-art facilities, competitive benefits, and unparalleled opportunities to shape tomorrow's technology landscape today.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 deployment cycles
  • Lead cross-functional research initiatives on AI bias mitigation and algorithmic transparency
  • Develop industry standards for responsible AI adoption in high-stakes sectors
  • Collaborate with policymakers to shape future AI regulatory landscapes
  • Mentor junior researchers and publish breakthrough findings in top-tier journals
  • Conduct ethical impact assessments for emerging AI technologies
  • Present findings at global tech summits and regulatory forums

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI research experience
  • Proven track record in developing ethical AI frameworks or policy recommendations
  • Expertise in bias detection/mitigation techniques for machine learning systems
  • Published research in top-tier AI ethics journals (e.g., ACM FAccT, Nature Machine Intelligence)
  • Strong background in regulatory compliance (GDPR, EU AI Act, NIST frameworks)
  • Experience leading cross-disciplinary research teams
  • Exceptional communication skills for translating complex concepts to diverse stakeholders

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation AI Policy Development Research Leadership Regulatory Compliance Cross-Disciplinary Collaboration

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