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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Horizon Labs at the forefront of shaping responsible AI for 2026. We're seeking a visionary AI Ethics Research Lead to pioneer frameworks ensuring artificial intelligence aligns with human values and societal needs. This pivotal role bridges cutting-edge machine learning development with ethical governance, driving innovation that balances technological advancement with moral responsibility. You'll collaborate with interdisciplinary teams to embed ethical principles into AI systems while influencing industry standards. Our dynamic environment offers autonomy to explore emerging ethical challenges in generative AI, autonomous systems, and human-AI interaction paradigms.

Responsibilities

  • Design and implement ethical governance frameworks for AI development lifecycle
  • Lead cross-functional working groups on algorithmic bias mitigation and fairness metrics
  • Conduct proactive risk assessments for emerging AI applications (2026 horizon)
  • Develop industry-leading ethical guidelines for generative AI and autonomous systems
  • Partner with engineering teams to embed ethical safeguards in production systems
  • Represent the organization at global AI ethics summits and policy forums
  • Author white papers on AI ethics trends influencing regulatory landscapes

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI ethics, responsible AI, or technology policy roles
  • Proven expertise in bias detection methodologies for machine learning systems
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Publication record in peer-reviewed ethics or technology journals
  • Experience facilitating consensus among technical and non-technical stakeholders
  • Strong background in participatory design methodologies for ethical technology
  • Demonstrated ability to translate complex ethical concepts into actionable guidelines

Required Skills

AI Ethics Responsible AI Machine Learning Governance Algorithmic Bias Regulatory Compliance Participatory Design Technology Policy Ethical Framework Development Cross-functional Leadership

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