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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus AI Solutions
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Shape the future of artificial intelligence at Nexus AI Solutions. We're pioneering ethical AI frameworks for 2026 and seek a visionary AI Ethics Research Lead to define responsible innovation standards. Join our interdisciplinary team at the intersection of technology, philosophy, and policy to create governance models that balance breakthrough capabilities with human-centric values.

In this pivotal role, you'll develop audit protocols for autonomous systems, collaborate with Fortune 500 partners to implement ethical AI roadmaps, and publish white papers influencing global tech policy. Our Austin hub offers state-of-the-art research facilities and unparalleled access to industry thought leaders.

Responsibilities

  • Design and implement AI ethics audit frameworks for enterprise deployments
  • Lead cross-functional working groups on bias mitigation in generative AI
  • Develop predictive models for AI system societal impact assessment
  • Author policy recommendations for regulatory bodies and standards organizations
  • Establish transparency protocols for explainable AI (XAI) implementations
  • Conduct ethics reviews for high-stakes AI applications in healthcare and finance
  • Mentor junior researchers in responsible AI development practices

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Published work in top-tier AI ethics journals (Nature AI, ACM FAccT)
  • Expertise in EU AI Act, NIST AI RMF, and ISO/IEC 42001 standards
  • Proficiency in Python for ethical algorithm development and testing
  • Experience advising Fortune 500 companies on AI governance frameworks
  • Deep understanding of bias detection methodologies in ML pipelines
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

AI ethics governance frameworks bias mitigation explainable AI policy development machine learning Python regulatory compliance ethical AI audits

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