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AI Ethics Researcher - 2026 Vision

Nexus Innovations Inc.
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Join Nexus Innovations Inc. at the forefront of ethical AI development for 2026. We're pioneering responsible AI systems that balance innovation with human values. As an AI Ethics Researcher, you'll shape the future of technology by ensuring our AI solutions align with societal good.

We offer a dynamic environment where your research directly impacts global standards. Enjoy competitive benefits, flexible work arrangements, and opportunities to collaborate with world-class researchers. Help us build AI that empowers humanity while safeguarding ethical principles.

Responsibilities

  • Develop frameworks for ethical AI governance and bias mitigation in 2026-era systems
  • Conduct interdisciplinary research on AI societal impacts and human-AI interaction paradigms
  • Design and implement fairness metrics for next-generation autonomous systems
  • Partner with engineering teams to embed ethical safeguards into AI development lifecycles
  • Lead cross-functional initiatives on responsible AI adoption strategies
  • Publish groundbreaking research in top-tier AI ethics journals and conferences
  • Advise policymakers on emerging AI regulatory frameworks and ethical guidelines

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field with AI focus
  • 3+ years researching AI ethics, algorithmic bias, or responsible AI systems
  • Expertise in machine learning fairness metrics and interpretability techniques
  • Strong background in ethical theory and applied ethics in technology
  • Published work in AI ethics venues (NeurIPS, FAccT, AAAI Ethics Track)
  • Experience with regulatory frameworks (EU AI Act, NIST RMF) and policy development
  • Proficiency in Python/R for empirical research and bias analysis
  • Exceptional communication skills for complex technical ethics concepts

Required Skills

AI Ethics Machine Learning Bias Mitigation Fairness Metrics Algorithmic Governance Policy Development Research Ethics Interdisciplinary Studies

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