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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Innovate Tomorrow Inc.
San Francisco
Estimated Salary
USD 120.000 – USD 180.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Innovate Tomorrow Inc. at the forefront of ethical AI development. We're seeking a visionary AI Ethics & Governance Specialist to shape responsible AI practices that will define 2026 and beyond. In this critical role, you'll design robust frameworks ensuring our AI systems align with societal values while driving innovation. Collaborate with world-class engineers, policymakers, and ethicists to create transparent, auditable AI solutions that earn public trust and regulatory compliance. This is your opportunity to directly influence how humanity harnesses AI's potential ethically.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks and governance policies
  • Conduct regular audits of AI systems for bias, fairness, and compliance
  • Lead cross-functional workshops to embed ethical considerations in AI development lifecycles
  • Monitor emerging AI regulations (EU AI Act, NIST frameworks) and adapt strategies
  • Create transparency reports documenting AI decision-making processes
  • Partner with legal teams to ensure adherence to evolving AI legislation
  • Train stakeholders on responsible AI deployment and risk mitigation

Qualifications

  • Master's degree in Ethics, Computer Science, Law, or related field (PhD preferred)
  • 5+ years in AI governance, ethics, or responsible technology development
  • Expertise in bias detection/mitigation techniques and fairness metrics
  • Deep understanding of global AI regulations (NIST, EU AI Act, OECD principles)
  • Experience with model explainability tools (SHAP, LIME) and interpretability methods
  • Exceptional communication skills for translating technical concepts to non-technical audiences
  • Published research or thought leadership in AI ethics (required)

Required Skills

AI ethics governance frameworks bias mitigation regulatory compliance model explainability stakeholder training policy development auditing

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