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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
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary AI Ethics Strategist to shape our ethical framework for 2026 and beyond. This leadership role demands a blend of technical expertise and philosophical insight to guide our AI systems toward equitable, transparent, and human-centered innovation.

As a pioneer in ethical AI, you'll collaborate with our multidisciplinary team to develop governance protocols, audit algorithms for bias, and establish industry-leading standards. You'll influence product design from conception to deployment, ensuring our AI solutions advance humanity while mitigating existential risks. This is your opportunity to define the ethical frontier of artificial intelligence.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional audits of machine learning models for bias and fairness
  • Design stakeholder engagement protocols for transparent AI decision-making
  • Establish governance boards for ethical AI review and approval
  • Research emerging AI risks and publish thought leadership papers
  • Train engineering teams on responsible AI development practices
  • Collaborate with policymakers to shape future AI regulations

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 8+ years experience in AI governance or ethics leadership
  • Deep understanding of machine learning fairness metrics and bias mitigation
  • Published research on AI ethics or algorithmic transparency
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Exceptional communication skills for technical and non-technical audiences
  • Portfolio demonstrating ethical AI implementation projects

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Ethical AI Policy Development Risk Assessment Stakeholder Engagement

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