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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureTech Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of responsible AI development. As we prepare for 2026's technological landscape, we seek an AI Ethics & Governance Specialist to shape our ethical framework and ensure compliance with evolving global standards. You'll collaborate with cross-functional teams to embed fairness, transparency, and accountability into our AI products while driving industry-leading responsible innovation.

This role offers the unique opportunity to influence how AI will transform society over the next decade, working with cutting-edge technology while maintaining unwavering ethical integrity. Our San Francisco campus features state-of-the-art facilities and a culture committed to technological advancement with human values.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with 2026 regulatory standards
  • Conduct bias audits and risk assessments for machine learning models
  • Design governance protocols for AI lifecycle management
  • Lead stakeholder workshops on responsible AI adoption
  • Monitor emerging ethical legislation and update compliance strategies
  • Train engineering teams on ethical AI development practices
  • Author transparency reports for high-impact AI systems

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, or related field
  • 3+ years in AI governance, compliance, or ethics roles
  • Expertise in AI bias mitigation techniques and fairness metrics
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience with responsible AI toolkits (IBM AI Fairness 360, Google What-If Tool)
  • Strong communication skills for technical and non-technical audiences
  • Published work or significant contributions to AI ethics discourse

Required Skills

AI Ethics Governance Compliance Bias Mitigation Regulatory Affairs Machine Learning Ethics Risk Assessment

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