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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

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

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking visionary AI Ethics Strategists to shape the ethical frameworks for next-generation autonomous systems. Lead cross-functional teams in designing transparent, bias-mitigated AI solutions that align with global regulatory standards while driving innovation. Your work will directly influence how 2026's most transformative technologies impact society.

Why Nexus Innovations? We're a B-Corporation pioneering ethical AI adoption in healthcare, finance, and autonomous mobility. Our teams operate at the intersection of technology and humanity, with competitive benefits including equity, sabbaticals, and dedicated innovation time.

Responsibilities

  • Develop and implement AI ethics governance frameworks for autonomous systems
  • Conduct bias audits and risk assessments for machine learning models
  • Collaborate with engineers to embed ethical safeguards into AI development lifecycle
  • Advocate regulatory compliance with evolving AI governance standards
  • Lead stakeholder workshops on responsible AI adoption
  • Research emerging ethical challenges in generative AI and predictive analytics
  • Author white papers on AI ethics best practices for industry conferences

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI ethics, policy, or responsible tech
  • Proficiency with bias detection tools (IBM AI Fairness 360, Google What-If Tool)
  • Deep understanding of EU AI Act, NIST AI RMF, and global AI governance
  • Experience facilitating cross-functional ethics committees
  • Published work in AI ethics or technology ethics journals
  • Strong background in at least one technical domain (healthcare/finance/autonomous systems)
  • Excellent communication skills for translating technical concepts to non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Regulatory Compliance Stakeholder Communication Ethical AI Frameworks Risk Assessment AI Fairness Tools

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