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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Scientist

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

Job Description

Join Nexus Futures Institute at the forefront of shaping ethical AI frameworks for 2026 and beyond. We're pioneering research that ensures artificial intelligence aligns with human values, societal needs, and sustainable development. This role offers a unique opportunity to influence global AI policy while working with interdisciplinary teams of technologists, philosophers, and policymakers.

Our ideal candidate thrives at the intersection of cutting-edge technology and ethical discourse, with a passion for creating responsible AI systems that empower humanity. You'll collaborate on groundbreaking projects addressing bias mitigation, transparency, and long-term AI safety.

Responsibilities

  • Lead research initiatives on ethical AI frameworks and governance models for 2026 deployment scenarios
  • Develop and implement bias detection/mitigation algorithms for next-generation AI systems
  • Author white papers and policy recommendations for international AI ethics standards
  • Collaborate with engineering teams to embed ethical safeguards in AI development pipelines
  • Present findings at global forums including UN Tech Summits and AI Ethics Consortiums
  • Advise governments and Fortune 500 companies on responsible AI adoption strategies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI ethics research
  • Published work in top-tier AI ethics journals (e.g., Nature Machine Intelligence)
  • Expertise in fairness metrics, explainable AI (XAI), and algorithmic auditing
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong programming skills in Python/R with experience in ML frameworks
  • Proven ability to translate complex ethical concepts into actionable technical guidelines

Required Skills

AI Ethics Machine Learning Algorithmic Bias Explainable AI Policy Development Python Research Methodology

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