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AI Ethics Specialist

Innovate Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join our pioneering team at Innovate Future Labs to shape the ethical backbone of tomorrow's AI landscape. As we stand on the precipice of 2026, we seek a visionary AI Ethics Specialist to ensure our cutting-edge technologies align with humanity's highest values. This role offers unparalleled opportunity to influence global standards while working with Fortune 500 clients deploying next-generation AI systems.

We offer comprehensive benefits including equity, unlimited PTO, and a dedicated innovation fund for personal development. Our state-of-the-art headquarters in San Francisco features collaborative workspaces, mindfulness studios, and rooftop gardens designed to fuel breakthrough thinking.

Responsibilities

  • Develop and implement ethical frameworks for AI systems across healthcare, finance, and autonomous sectors
  • Conduct bias audits and fairness assessments for machine learning models using advanced statistical methods
  • Lead stakeholder workshops to align technical teams with regulatory requirements and societal expectations
  • Author whitepapers and industry standards documents for global AI governance bodies
  • Mentor cross-functional teams on responsible AI implementation and ethical deployment strategies
  • Monitor emerging regulations and propose proactive compliance measures for multinational clients

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years applied AI ethics experience
  • Deep expertise in fairness, accountability, and transparency (FAT) frameworks for ML systems
  • Proven track record influencing policy at Fortune 500 companies or governmental agencies
  • Strong publication record in top-tier AI ethics journals or conference proceedings
  • Certification in AI governance frameworks (e.g., EU AI Act, NIST RMF)
  • Exceptional communication skills bridging technical and non-technical stakeholders
  • Experience with bias detection tools (e.g., IBM AI Fairness 360, Google What-If Tool)

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Regulatory Compliance Stakeholder Communication Algorithmic Auditing Ethical Framework Design Policy Influence

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