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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

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

Job Description

Shape the future of artificial intelligence at Nexus Labs. We're seeking an AI Ethics Research Lead to pioneer responsible AI frameworks that will define technological standards for the next decade. Join our interdisciplinary team in Austin to develop governance models that balance innovation with societal impact. This role offers unparalleled influence in shaping how AI systems interact with humanity.

Why Nexus Labs? We're at the forefront of ethical AI development, with partnerships leading Fortune 500 companies and global research institutions. Enjoy competitive equity packages, flexible work arrangements, and a dedicated innovation budget to explore groundbreaking research.

Responsibilities

  • Design and implement ethical AI governance frameworks for enterprise-level systems
  • Lead cross-functional teams in auditing AI models for bias and fairness
  • Develop predictive risk assessment tools for emerging AI technologies
  • Collaborate with policymakers to shape future AI legislation and standards
  • Publish research in peer-reviewed journals and industry white papers
  • Mentor junior researchers in AI ethics methodologies
  • Represent the company at international AI ethics symposiums

Qualifications

  • PhD in Computer Science, Philosophy, or related field with 5+ years AI ethics experience
  • Proven track record of publishing research in AI ethics or responsible AI
  • Expertise in bias mitigation techniques and fairness metrics for ML models
  • Experience working with regulatory bodies on AI policy development
  • Strong background in moral philosophy and applied ethics
  • Ability to translate complex ethical concepts into technical requirements
  • Experience leading research teams with diverse expertise

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Policy Development Research Leadership Fairness Metrics Responsible AI Risk Assessment

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