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2026 AI Ethics Research Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape the technological landscape of 2026. We're seeking a visionary 2026 AI Ethics Research Lead to design frameworks that ensure artificial intelligence aligns with human values. This pivotal role bridges cutting-edge research with practical implementation, guiding our organization through the ethical challenges of tomorrow's AI systems. You'll collaborate with world-class engineers, ethicists, and policymakers to establish industry standards that prioritize transparency, fairness, and accountability in autonomous technologies.

Why Nexus Innovations? As a leader in responsible AI development, we offer a dynamic environment where your work directly impacts global standards. Our commitment to ethical innovation is matched only by our dedication to your professional growth through continuous learning, cutting-edge resources, and a culture that values intellectual curiosity.

Responsibilities

  • Develop and implement ethical AI frameworks for autonomous systems deployed in 2026
  • Lead multidisciplinary research teams to identify bias mitigation strategies in machine learning algorithms
  • Collaborate with product teams to embed ethical safeguards into AI development lifecycles
  • Establish governance protocols for AI transparency and explainability requirements
  • Represent the organization at global ethics summits and regulatory discussions
  • Design audit methodologies for evaluating AI systems against evolving ethical standards
  • Mentor junior researchers on responsible AI principles and emerging ethical challenges

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years of AI ethics experience
  • Published research in top-tier journals on algorithmic bias or AI governance
  • Expertise in implementing ethical AI frameworks (e.g., EU AI Act, NIST RMF)
  • Experience with large language model transparency techniques and explainability tools
  • Proven track record of advising Fortune 500 companies on AI ethics strategies
  • Strong background in cross-functional collaboration with engineering and policy teams
  • Deep understanding of emerging AI technologies and their societal implications

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation Explainable AI AI Regulatory Compliance Ethics Research Large Language Models Policy Development

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