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AI Ethicist - Shaping the Future of Responsible AI

FutureTech Innovations
San Francisco
Estimated Salary
USD 140.000 – USD 200.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of ethical AI development. As our AI Ethicist, you'll define the moral framework for next-generation artificial intelligence systems. This pivotal role bridges cutting-edge technology with human values, ensuring our innovations advance society responsibly. Work alongside world-class AI researchers, engineers, and policymakers to create governance frameworks that balance innovation with accountability. Shape the future of AI ethics while driving product strategy that aligns with global standards and societal expectations.

Responsibilities

  • Develop and implement ethical AI governance frameworks for autonomous systems
  • Conduct bias audits and impact assessments for machine learning models
  • Collaborate with cross-functional teams to embed ethical considerations into product lifecycles
  • Advocate for responsible AI practices through policy development and stakeholder education
  • Lead research on emerging ethical challenges in generative AI and predictive analytics
  • Establish monitoring protocols for AI system fairness and transparency
  • Represent the company at industry forums on AI ethics and responsible innovation

Qualifications

  • Advanced degree in Philosophy, Ethics, Computer Science, or related field
  • 5+ years experience in AI ethics, governance, or responsible AI development
  • Deep expertise in machine learning model fairness and bias mitigation
  • Strong understanding of global AI regulatory frameworks (EU AI Act, NIST guidelines)
  • Exceptional communication skills for translating technical concepts to non-technical audiences
  • Experience with ethical risk assessment methodologies
  • Published work or thought leadership in AI ethics or technology ethics
  • Proficiency in Python for bias detection tool implementation

Required Skills

AI Ethics Machine Learning Data Science Governance Policy Development Bias Mitigation Regulatory Compliance Risk Assessment

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