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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureTech Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join FutureTech Innovations at the forefront of responsible AI development as we shape the ethical frameworks for 2026 and beyond. We're seeking a visionary AI Ethics & Governance Specialist to design, implement, and audit systems that ensure our cutting-edge AI technologies align with societal values and emerging global regulations. This role offers the opportunity to directly influence how artificial intelligence evolves in the next decade, working with cross-functional teams to embed ethical principles into product lifecycles while maintaining competitive innovation.

Our ideal candidate thrives at the intersection of technology, policy, and human impact, helping us navigate the complex landscape of algorithmic fairness, transparency, and accountability. You'll collaborate with world-class researchers, engineers, and policymakers to pioneer best practices that will set industry standards for years to come.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory expectations (e.g., EU AI Act, US Algorithmic Accountability Act)
  • Conduct algorithmic bias audits and risk assessments for high-stakes AI systems
  • Design transparent explainability protocols for complex neural networks and generative models
  • Advise product teams on ethical AI design principles during development sprints
  • Create governance policies for autonomous systems and human-AI collaboration interfaces
  • Lead stakeholder engagement with regulators, academia, and civil society on AI ethics
  • Monitor emerging ethical challenges and update governance protocols proactively

Qualifications

  • Master's degree in Computer Science, Ethics, Law, Policy, or related field (PhD preferred)
  • 5+ years in AI governance, ethics, or compliance with demonstrable impact on policy
  • Expertise in bias detection techniques for ML models (e.g., fairness metrics, adversarial testing)
  • Deep understanding of global AI regulations (EU AI Act, NIST AI RMF, OECD AI Principles)
  • Experience designing audit frameworks for algorithmic decision systems
  • Strong written communication skills for producing ethical guidelines and policy documents
  • Proven ability to translate technical concepts for non-technical stakeholders

Required Skills

AI Ethics Algorithmic Auditing Policy Development Bias Mitigation Explainable AI Regulatory Compliance Risk Assessment Stakeholder Engagement

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