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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

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 responsible AI development. As we pioneer solutions for 2026, we seek an AI Ethics Strategist to shape the future of ethical artificial intelligence. You'll design frameworks ensuring our AI systems advance humanity while safeguarding against bias, privacy risks, and societal harm. This role blends technical acumen with philosophical rigor to create AI solutions that earn trust and drive positive impact.

We offer a dynamic environment where your work directly influences global standards in AI governance. Collaborate with world-class engineers, policymakers, and researchers to build an ethical AI ecosystem that defines tomorrow's technological landscape.

Responsibilities

  • Develop and implement ethical governance frameworks for AI product lifecycles
  • Conduct bias audits and risk assessments for machine learning models
  • Lead cross-functional workshops to embed ethical considerations into AI development
  • Advocate for ethical AI standards through white papers and industry forums
  • Partner with legal teams to ensure compliance with evolving AI regulations
  • Monitor emerging AI ethics trends and translate insights into actionable policies
  • Train stakeholders on ethical AI practices and responsible deployment

Qualifications

  • Master's degree in Philosophy, Computer Science, Law, or related field
  • 5+ years in AI ethics, responsible AI, or technology governance
  • Deep expertise in ML fairness, explainability, and bias mitigation techniques
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong background in policy development and stakeholder communication
  • Proficiency in ethical impact assessment methodologies
  • Demonstrated ability to translate complex concepts for technical and non-technical audiences

Required Skills

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

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