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AI Ethics Specialist

Nexus Futures Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Futures Inc. at the forefront of responsible AI innovation. As an AI Ethics Specialist, you'll architect frameworks that ensure our autonomous systems align with human values while driving technological breakthroughs. This role combines philosophical rigor with practical implementation to shape the ethical backbone of tomorrow's AI landscape.

We offer a dynamic environment where your expertise will directly influence how AI impacts society. Collaborate with world-class engineers, policymakers, and researchers to develop governance models that balance innovation with accountability.

Responsibilities

  • Design and implement AI ethics governance frameworks for autonomous systems
  • Conduct bias audits and algorithmic impact assessments across product lifecycles
  • Develop corporate AI ethics policies aligned with evolving regulatory landscapes
  • Lead cross-functional workshops on responsible AI development practices
  • Advocate for ethical considerations in product roadmaps and technical specifications
  • Research emerging ethical challenges in generative AI and machine learning
  • Stakeholder engagement with regulators, industry groups, and civil society

Qualifications

  • Master's degree in Philosophy, Computer Science, Law, Ethics, or related field
  • 3+ years experience in AI ethics, algorithmic auditing, or responsible AI
  • Deep understanding of EU AI Act, NIST AI RMF, and global AI governance trends
  • Proficiency in bias detection tools (e.g., IBM AI Fairness 360, Google What-If Tool)
  • Exceptional communication skills for translating complex concepts to diverse audiences
  • Experience with agile development methodologies and AI deployment pipelines
  • Published work in AI ethics or demonstrated thought leadership in the field

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Regulatory Compliance Bias Mitigation Policy Development Ethical AI Frameworks Stakeholder Engagement

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