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AI Ethics Lead - 2026 Vision

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape the technological landscape of 2026. We seek a visionary AI Ethics Lead to design and implement responsible AI frameworks that prioritize human values, fairness, and transparency in next-generation systems. This role bridges cutting-edge technology with profound ethical considerations, ensuring our innovations empower humanity while mitigating risks.

As part of our Future Tech Division, you'll collaborate with world-class AI researchers, policymakers, and industry leaders to establish industry standards for ethical AI deployment. The ideal candidate thrives at the intersection of technology, philosophy, and social impact, driving initiatives that set new benchmarks for responsible innovation.

Responsibilities

  • Develop comprehensive ethical frameworks for autonomous systems and generative AI models
  • Conduct bias audits and fairness assessments across AI development pipelines
  • Lead stakeholder engagement with regulators, NGOs, and community groups on AI ethics
  • Establish governance protocols for high-stakes AI applications in healthcare and finance
  • Create transparency mechanisms for AI decision-making processes
  • Advocate for inclusive design practices in AI development teams
  • Monitor emerging ethical risks and update compliance protocols proactively

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or responsible tech development
  • Expertise in bias mitigation techniques and fairness metrics for ML models
  • Experience working with regulatory bodies on AI policy frameworks
  • Deep understanding of global AI ethics regulations (EU AI Act, NIST frameworks)
  • Published research on algorithmic bias or AI ethics preferred
  • Certification in AI Ethics (e.g., IEEE Ethically Aligned Design)
  • Strong background in quantitative analysis and qualitative research methodologies

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Regulatory Compliance Algorithmic Transparency Ethical AI Design Stakeholder Engagement Risk Assessment

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