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AI Ethics Research Director

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

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution as our AI Ethics Research Director. You'll spearhead groundbreaking initiatives to ensure artificial intelligence develops responsibly while maximizing societal benefit. This visionary role bridges cutting-edge research with practical implementation, shaping the ethical frameworks that will define tomorrow's digital landscape. Our Austin campus offers state-of-the-art facilities and unparalleled collaboration opportunities with world-class researchers and industry pioneers.

Responsibilities

  • Lead cross-functional teams in developing AI ethics frameworks and governance protocols for 2026-era autonomous systems
  • Conduct pioneering research on algorithmic bias mitigation and transparent AI decision-making processes
  • Forge strategic partnerships with academic institutions, policymakers, and global tech consortiums
  • Oversee implementation of ethical AI audits for client projects across healthcare, finance, and autonomous sectors
  • Author industry-defining white papers and position Nexus Future Labs as the ethics thought leader
  • Mentor next-generation researchers through our AI Ethics Fellowship program

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 8+ years in AI governance
  • Proven track record publishing peer-reviewed research on algorithmic fairness and AI transparency
  • Expertise in implementing ethics-by-design methodologies for complex AI systems
  • Deep understanding of emerging regulatory landscapes (EU AI Act, US AI Bill of Rights)
  • Exceptional strategic communication skills for engaging C-suite executives and policymakers
  • Experience leading multi-disciplinary teams across technical and non-technical domains
  • Published author in top-tier AI ethics journals (e.g., Nature Machine Intelligence)

Required Skills

AI Ethics Algorithmic Fairness Governance Frameworks Regulatory Compliance Research Leadership Cross-functional Collaboration Future Tech Policy

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