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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist & Future Policy Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations at the forefront of shaping ethical AI frameworks for 2026 and beyond. We're seeking a visionary AI Ethicist to design responsible governance models for autonomous systems, quantum computing integrations, and next-gen neural networks. Lead cross-functional teams in developing auditable bias mitigation protocols while advising C-suite executives on regulatory compliance for emerging technologies. This role bridges technical innovation with societal impact, ensuring our AI advancements align with human-centric values.

Responsibilities

  • Design ethical frameworks for autonomous decision-making systems deployed in 2026
  • Develop quantum-computing-aligned bias detection protocols for ML models
  • Lead stakeholder workshops on AI governance with policymakers and industry consortia
  • Conduct predictive impact assessments for neural-augmented human interfaces
  • Author enterprise-wide ethical AI standards aligned with ISO/IEEE 7000:2026
  • Oversee third-party audits of generative AI systems for compliance
  • Advocate for inclusive design in AI development pipelines

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI governance or responsible AI development
  • Expertise in quantum computing ethics and neural network interpretability
  • Published research on algorithmic bias mitigation (IEEE/ACM preferred)
  • Certification in ISO/IEEE 7000:2026 compliance standards
  • Experience advising Fortune 500 on regulatory strategy for emerging tech
  • Proficiency in Python for ethical auditing tools development
  • Deep understanding of EU AI Act and US regulatory landscapes

Required Skills

AI Ethics Quantum Computing Governance Neural Network Auditing ISO/IEEE 7000:2026 Algorithmic Bias Mitigation Regulatory Compliance Neural-AI Interfaces Predictive Impact Assessment

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