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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Researcher 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 140.000 – USD 190.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI innovation. We're seeking visionary AI Ethics Researchers to shape the ethical frameworks for 2026's autonomous systems. Lead groundbreaking research at our cutting-edge San Francisco campus, collaborating with world-class AI developers and policymakers to ensure technology serves humanity's highest aspirations.

This role offers unparalleled opportunity to influence the future of AI governance while working on projects that will impact billions of lives. Enjoy competitive compensation, flexible work arrangements, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement ethical evaluation frameworks for autonomous systems deployed in 2026
  • Conduct interdisciplinary research on AI bias mitigation and algorithmic fairness
  • Develop policy recommendations for government and industry stakeholders
  • Lead cross-functional working groups with engineering, legal, and social science teams
  • Author white papers and peer-reviewed publications on emerging AI ethics challenges
  • Advise product teams on ethical AI integration across 15+ industry verticals
  • Represent the company at global AI ethics summits and regulatory forums

Qualifications

  • PhD in Philosophy, Computer Science, Ethics, or related field (or equivalent experience)
  • 5+ years researching AI ethics, algorithmic bias, or responsible AI
  • Published work in top-tier ethics/ML conferences (NeurIPS, FAccT, etc.)
  • Expertise in regulatory frameworks (EU AI Act, NIST RMF, etc.)
  • Experience with cross-cultural ethical analysis methodologies
  • Strong programming skills (Python, R) for empirical research
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Algorithmic Bias Machine Learning Policy Development Research Methodology Regulatory Compliance Cross-Cultural Analysis Python R

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