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Artificial Intelligence 🏢 Full Time ⭐️ Verified

AI Ethicist - 2026 Visionary

NeuroTech Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join NeuroTech Innovations as we pioneer the ethical frontier of artificial intelligence for 2026 and beyond. We're seeking an AI Ethicist to shape responsible AI frameworks that balance innovation with human values. This role sits at the intersection of technology, philosophy, and policy, ensuring our AI systems align with evolving societal standards while driving competitive advantage. You'll collaborate with world-class engineers, policymakers, and researchers to embed ethical principles into our AI lifecycle.

Responsibilities

  • Design and implement ethical AI governance frameworks aligned with 2026 regulatory landscapes
  • Conduct bias audits and fairness assessments across AI models and datasets
  • Develop transparent explainability protocols for complex AI systems
  • Lead stakeholder engagement sessions with regulators, NGOs, and industry partners
  • Establish continuous monitoring protocols for AI ethics compliance
  • Create educational materials for internal teams on responsible AI practices
  • Advise on emerging ethical challenges in generative AI and autonomous systems

Qualifications

  • Advanced degree in Philosophy, Ethics, Computer Science, or related field
  • 5+ years in AI ethics, policy development, or responsible AI implementation
  • Deep expertise in regulatory frameworks (EU AI Act, NIST AI RMF)
  • Experience with bias mitigation techniques in ML systems
  • Proven ability to translate complex ethical concepts into technical requirements
  • Strong background in risk assessment methodologies
  • Exceptional communication skills for cross-functional collaboration
  • Published work or thought leadership in AI ethics preferred

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Explainable AI Risk Assessment Policy Development Stakeholder Engagement

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