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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

FutureHorizon Inc.
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join FutureHorizon Inc. at the forefront of responsible AI innovation. We're seeking visionary AI Ethics Specialists to shape the ethical frameworks guiding our 2026 technology roadmap. This pivotal role bridges cutting-edge AI development with human-centric governance, ensuring our systems advance society while upholding integrity and equity.

As a key member of our FutureTech Ethics Council, you'll architect policies that preempt ethical risks in autonomous systems, bias mitigation, and algorithmic transparency. Collaborate with world-class researchers, engineers, and policymakers to embed ethical design principles from concept to deployment.

Our San Francisco hub offers unparalleled access to industry pioneers, flexible work arrangements, and comprehensive benefits including equity and wellness programs. Help us build the future responsibly.

Responsibilities

  • Design and implement AI governance frameworks for 2026 product launches
  • Conduct bias audits and risk assessments for machine learning systems
  • Develop ethical guidelines for generative AI and autonomous decision-making
  • Lead cross-functional ethics committees with engineering and legal teams
  • Create transparency reports for high-stakes AI deployments
  • Advocate for inclusive AI design through stakeholder workshops
  • Monitor emerging regulations and update compliance protocols
  • Publish thought leadership on AI ethics in industry forums

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, data ethics, or responsible tech roles
  • Expertise in bias detection techniques for ML models
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Proven experience translating ethics principles into technical requirements
  • Strong stakeholder management across technical and non-technical teams
  • Certification in AI ethics or data governance (e.g., CIPM, CIPP/E)
  • Publication record in ethics journals or tech policy platforms

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation Regulatory Compliance Stakeholder Communication Ethical Design Principles Transparency Reporting Cross-functional Leadership

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