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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're pioneering ethical frameworks for next-generation autonomous systems and seeking an AI Ethics Specialist to shape the future of human-AI collaboration. In this critical role, you'll design governance protocols, conduct bias audits, and ensure our AI solutions align with global ethical standards while driving innovation.

Our team operates at the intersection of technology and philosophy, where your expertise will directly influence how AI integrates into society by 2026. We offer competitive compensation, flexible work arrangements, and opportunities to present findings at global ethics summits.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with IEEE 7001 and EU AI Act standards
  • Conduct algorithmic bias audits across machine learning pipelines
  • Collaborate with engineering teams to embed ethical safeguards into AI development lifecycle
  • Lead stakeholder workshops on AI transparency and accountability
  • Author ethics impact assessments for high-stakes AI deployments
  • Monitor emerging regulations and update compliance protocols
  • Represent the company at international AI ethics forums

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI governance or responsible AI implementation
  • Expertise in bias detection techniques for ML models
  • Deep understanding of global AI regulatory landscapes
  • Published research in AI ethics or technology ethics
  • Proficiency with Python for ethical auditing tools
  • Certification in AI Risk Management (e.g., from Partnership on AI)
  • Experience presenting complex ethical concepts to technical audiences

Required Skills

AI Ethics Machine Learning Governance Compliance Risk Assessment Stakeholder Engagement Research

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