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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

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

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We're seeking visionary researchers to pioneer frameworks ensuring AI systems align with human values while driving unprecedented innovation. Our interdisciplinary team collaborates with global partners to address emerging ethical challenges in autonomous systems, generative AI, and predictive analytics. This role offers unparalleled impact in defining the future of human-AI coexistence.

Why Nexus Future Labs? • Groundbreaking work in AI ethics governance • Access to cutting-edge research infrastructure • Competitive benefits including equity and sabbatical programs • Mentorship from industry pioneers • Hybrid work model with flexible schedules

Responsibilities

  • Design and implement ethical frameworks for next-generation AI systems
  • Lead cross-functional research on bias mitigation and algorithmic fairness
  • Develop industry standards for transparent AI decision-making processes
  • Collaborate with product teams to embed ethical considerations into AI development lifecycles
  • Publish peer-reviewed research and present findings at global conferences
  • Advise policymakers on emerging AI regulations and compliance standards
  • Mentor junior researchers in ethical AI methodologies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field (or equivalent experience)
  • 5+ years researching AI ethics, fairness, or governance frameworks
  • Published work in top-tier AI ethics or machine learning conferences
  • Experience with bias detection tools and fairness metrics
  • Strong background in regulatory compliance (GDPR, EU AI Act, etc.)
  • Expertise in participatory design methodologies for stakeholder engagement
  • Ability to translate complex ethical concepts into actionable technical guidelines

Required Skills

AI Ethics Machine Learning Governance Frameworks Bias Mitigation Regulatory Compliance Research Methodology Stakeholder Engagement

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