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AI Ethics Researcher 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's AI revolution! We're seeking visionary AI Ethics Researchers to shape the future of responsible artificial intelligence. As a key member of our Ethics & Governance team, you'll pioneer frameworks that ensure AI systems align with human values while driving innovation. Collaborate with world-class engineers, policymakers, and ethicists to develop cutting-edge solutions for autonomous systems, predictive analytics, and generative AI. Your work will directly influence industry standards and regulatory frameworks for the next generation of intelligent technologies.

Responsibilities

  • Design and implement ethical frameworks for advanced AI systems deployed in critical sectors
  • Conduct interdisciplinary research on algorithmic bias, transparency, and accountability in ML models
  • Develop predictive risk assessment models for emerging AI applications (2026-2030 horizon)
  • Partner with engineering teams to embed ethical safeguards into AI development pipelines
  • Author white papers and policy recommendations for global AI governance bodies
  • Lead cross-functional workshops on responsible AI implementation strategies
  • Monitor evolving regulatory landscapes and adapt compliance protocols proactively

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field with 5+ years AI research experience
  • Published work on algorithmic fairness, explainable AI, or AI safety protocols
  • Expertise in regulatory frameworks (EU AI Act, NIST RMF, or equivalent)
  • Proficiency in ML model auditing tools (e.g., IBM AI Fairness 360, Google What-If Tool)
  • Experience with cross-stakeholder governance in tech or policy environments
  • Deep understanding of 2026's emerging AI trends (quantum computing integration, neuromorphic systems)
  • Strong background in ethics methodologies (value-sensitive design, participatory design)

Required Skills

AI Ethics Machine Learning Governance Risk Assessment Policy Development Research Methodology Explainable AI Algorithmic Fairness

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