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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape the technological landscape of 2026. We're seeking a visionary AI Ethics & Governance Specialist to design frameworks that ensure AI systems align with human values. This role offers the unique opportunity to influence industry standards while working with cutting-edge technology in a collaborative, forward-thinking environment.

Why Nexus Innovations? We're a leader in responsible AI development, offering competitive benefits, flexible work arrangements, and a commitment to professional growth through our Future-Forward Fellowship Program.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with emerging 2026 regulatory standards
  • Conduct algorithmic bias audits and impact assessments for high-stakes AI systems
  • Lead cross-functional workshops to embed ethical considerations into AI development lifecycles
  • Advocate for transparency in AI decision-making processes through explainable AI methodologies
  • Collaborate with policymakers and industry consortiums to shape future AI regulations
  • Mentor junior engineers on responsible AI development practices

Qualifications

  • Master's degree in Ethics, Computer Science, Law, or related field (PhD preferred)
  • 5+ years in AI governance, responsible tech, or policy development roles
  • Deep expertise in algorithmic bias mitigation and fairness metrics
  • Experience with international AI regulatory frameworks (EU AI Act, NIST RMF)
  • Proficiency in conducting ethical risk assessments for autonomous systems
  • Strong background in data privacy regulations (GDPR, CCPA)
  • Exceptional written communication for policy documentation

Required Skills

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

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