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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
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join our pioneering team shaping the ethical frontier of artificial intelligence. As an AI Ethics Specialist at FutureTech Innovations, you'll ensure our cutting-edge AI systems align with global ethical standards while driving innovation. Collaborate with cross-functional teams to develop robust governance frameworks, conduct bias audits, and champion responsible AI deployment. This role offers unparalleled opportunities to influence the future of technology while making a tangible impact on society.

We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity, health insurance, and professional development stipends.

Responsibilities

  • Design and implement AI ethics governance frameworks aligned with IEEE, EU AI Act, and NIST standards
  • Conduct algorithmic bias audits and fairness assessments for ML models
  • Develop risk mitigation strategies for high-stakes AI applications
  • Lead stakeholder workshops to embed ethical principles into product roadmaps
  • Monitor emerging AI regulations and adapt compliance protocols
  • Create transparency reports for AI system decision-making processes
  • Advocate for ethical AI practices across engineering and product teams

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 3+ years experience in AI governance, compliance, or responsible AI roles
  • Deep understanding of ML fairness metrics and bias mitigation techniques
  • Proficiency with regulatory frameworks (GDPR, CCPA, EU AI Act)
  • Strong stakeholder management and cross-functional communication skills
  • Experience conducting algorithmic audits and bias assessments
  • Knowledge of NIST AI Risk Management Framework
  • Published work in AI ethics or related field preferred

Required Skills

AI Ethics Machine Learning Data Privacy Governance Compliance Bias Mitigation Regulatory Frameworks Risk Assessment

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