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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

FutureTech Innovations
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureTech Innovations as a pioneering AI Ethics Specialist to shape the responsible future of artificial intelligence. In this critical role, you'll ensure our cutting-edge AI systems align with ethical standards, regulatory requirements, and societal values. Collaborate with cross-functional teams to embed fairness, transparency, and accountability into every stage of AI development. Help us build technology that empowers humanity while mitigating bias and preserving privacy.

Our San Francisco headquarters offers a dynamic environment where you'll work alongside industry leaders in machine learning, data science, and governance. We provide competitive benefits, flexible work arrangements, and opportunities to influence global AI policy frameworks.

Responsibilities

  • Develop and implement AI ethics frameworks for autonomous systems and decision-making algorithms
  • Conduct bias audits and fairness assessments across machine learning models
  • Design transparency protocols for AI explainability and interpretability
  • Advise product teams on ethical AI deployment and risk mitigation strategies
  • Stay current on evolving AI regulations (EU AI Act, NIST frameworks)
  • Lead stakeholder workshops on responsible AI adoption
  • Author governance documentation and compliance reports

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, or related field
  • 3+ years in AI governance, compliance, or ethics-focused roles
  • Expertise in bias detection techniques for machine learning models
  • Familiarity with regulatory frameworks (GDPR, NIST AI RMF)
  • Strong analytical skills for ethical risk assessment
  • Experience with AI explainability tools (SHAP, LIME)
  • Certification in AI Ethics or Data Privacy (e.g., CIPP/E, CIPM)

Required Skills

AI Ethics Machine Learning Bias Detection Regulatory Compliance Explainable AI Risk Assessment Governance Frameworks

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