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AI Ethics Researcher - 2026

Nexus Future Institute
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Future Institute at the forefront of responsible AI development. We're seeking visionary AI Ethics Researchers to shape the ethical frameworks for 2026's autonomous systems. This role combines cutting-edge AI research with proactive governance, ensuring technological progress aligns with human values. You'll collaborate with world-class engineers, policymakers, and ethicists to develop auditable AI systems that prioritize fairness, transparency, and societal benefit.

Our San Francisco hub offers unparalleled resources including quantum computing access and real-world deployment partnerships with Fortune 500 companies. This is your opportunity to directly influence how AI will transform industries while safeguarding humanity's future.

Responsibilities

  • Design and implement ethical validation protocols for next-gen AI systems
  • Lead cross-functional audits of autonomous decision-making algorithms
  • Develop bias mitigation frameworks for large-scale neural networks
  • Author position papers for regulatory bodies on AI governance standards
  • Create predictive models for societal impact of emerging AI technologies
  • Mentor junior researchers in responsible AI methodologies
  • Partner with engineering teams to embed ethics-by-design principles

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics research or responsible AI implementation
  • Expertise in fairness metrics and bias quantification techniques
  • Published work in top-tier AI ethics conferences (e.g., FAccT, AIES)
  • Strong programming skills (Python, R) with statistical modeling experience
  • Experience working with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Demonstrated ability to translate complex ethical concepts into engineering requirements

Required Skills

AI Ethics Machine Learning Bias Mitigation Algorithmic Fairness Regulatory Compliance Quantum Computing Policy Development Statistical Analysis

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