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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
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Horizon Labs at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We're seeking an AI Ethics Research Lead to pioneer frameworks that ensure artificial intelligence aligns with human values in our rapidly evolving digital landscape. This role bridges cutting-edge research with practical implementation, working directly with product teams to embed ethical safeguards into AI systems before deployment.

You'll collaborate with interdisciplinary experts to anticipate societal impacts, develop bias mitigation protocols, and establish transparency standards for next-generation AI. Our ideal candidate thrives at the intersection of technology, philosophy, and policy, with a passion for democratizing AI's benefits while mitigating its risks.

Responsibilities

  • Design and implement AI ethics frameworks for autonomous systems and generative models
  • Lead cross-functional working groups to identify bias vectors in training datasets
  • Develop real-time monitoring tools for ethical compliance in production AI
  • Author white papers on emerging ethical challenges in quantum computing integration
  • Advise C-suite on regulatory compliance for international AI governance standards
  • Create transparency dashboards for explainable AI (XAI) deployments
  • Coordinate with academic partners on longitudinal societal impact studies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 8+ years experience
  • Published research in top-tier AI ethics journals (e.g., ACM FAccT, NeurIPS Ethics)
  • Expertise in fairness metrics and bias detection algorithms
  • Deep understanding of EU AI Act, NIST AI RMF, and global regulatory landscapes
  • Proficiency in Python for ethical auditing tools development
  • Experience testifying before legislative bodies on AI policy
  • Demonstrated ability to translate complex ethical concepts into engineering requirements

Required Skills

AI Ethics Explainable AI Bias Detection Regulatory Compliance Quantum Computing Societal Impact Assessment Policy Development Python Machine Learning Auditing

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