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AI Ethics & Governance Specialist

InnovateFuture Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join InnovateFuture Labs at the forefront of ethical AI development. As an AI Ethics & Governance Specialist, you'll shape responsible AI frameworks that define the future of technology. This role combines cutting-edge AI expertise with profound ethical foresight to build systems that prioritize human values in an increasingly automated world.

We're seeking visionary professionals who understand that 2026's AI landscape demands proactive governance. You'll collaborate with cross-functional teams to develop audit protocols, bias mitigation strategies, and transparent deployment standards for next-generation AI systems. Your work will directly influence how global enterprises adopt AI responsibly.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Conduct algorithmic audits and bias assessments across machine learning pipelines
  • Develop transparent AI explainability protocols for regulatory compliance
  • Lead cross-functional workshops on responsible AI adoption strategies
  • Create policy recommendations for AI deployment in regulated industries
  • Monitor emerging AI ethics legislation and update compliance frameworks
  • Author technical documentation on AI risk mitigation methodologies

Qualifications

  • Master's degree in Computer Science, Ethics, Policy, or related field
  • 3+ years of experience in AI governance, compliance, or ethics roles
  • Deep understanding of bias detection techniques in ML systems
  • Expertise in AI ethics frameworks (e.g., EU AI Act, NIST RMF)
  • Proficiency with Python for algorithmic auditing tools
  • Experience with regulatory compliance in tech (GDPR, CCPA)
  • Strong background in policy development for emerging technologies
  • Certification in AI ethics or governance (e.g., CEGAI, AIGC) preferred

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Policy Development Regulatory Compliance Bias Mitigation Explainable AI Risk Assessment

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