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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

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

Job Description

Join Nexus Innovations at the forefront of ethical AI development. We're seeking a visionary AI Ethics Strategist to shape responsible AI frameworks for 2026 and beyond. This pivotal role bridges cutting-edge technology with human-centric principles, ensuring our AI systems advance society while safeguarding ethical integrity. You'll collaborate with world-class engineers, policymakers, and researchers to define the next generation of AI governance standards. Our dynamic startup culture offers unparalleled growth opportunities and the chance to leave a lasting impact on the future of technology.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with emerging 2026 regulatory landscapes
  • Conduct bias audits and fairness assessments for machine learning models
  • Lead cross-functional workshops to embed ethical principles into AI development lifecycles
  • Advocate for transparency and explainability in autonomous systems
  • Author thought leadership papers on AI ethics and societal impact
  • Partner with legal teams to ensure compliance with evolving AI regulations
  • Mentor junior engineers on responsible AI development practices

Qualifications

  • PhD or Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years of experience in AI ethics, policy, or governance
  • Deep understanding of machine learning algorithms and their societal implications
  • Proven ability to translate ethical principles into technical requirements
  • Experience with AI regulatory frameworks (EU AI Act, NIST AI RMF)
  • Exceptional communication skills for technical and non-technical stakeholders
  • Published work on AI ethics or responsible technology
  • Familiarity with 2026 emerging AI trends (quantum AI, AGI safety)

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Explainable AI Policy Development Ethical Frameworks Stakeholder Communication

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