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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

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

Job Description

Join Nexus Future Labs at the forefront of ethical AI development. As our AI Ethics Strategist, you'll shape responsible AI frameworks for 2026 and beyond. We're pioneering solutions that balance technological advancement with human-centric values in an era of unprecedented digital transformation. Lead initiatives to ensure AI systems align with societal ethics while driving innovation.

This role offers the unique opportunity to influence next-generation AI governance, collaborate with world-class researchers, and implement ethical safeguards that will define the future of human-AI interaction.

Responsibilities

  • Develop and implement ethical AI governance frameworks for 2026 technology ecosystems
  • Conduct bias audits and risk assessments for cutting-edge AI systems
  • Lead cross-functional working groups on responsible AI deployment strategies
  • Advise on policy development for emerging AI applications in regulated industries
  • Create educational materials for stakeholders on ethical AI principles
  • Monitor global regulatory trends and translate them into actionable compliance strategies
  • Represent the company at international AI ethics conferences and standard-setting bodies

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • Minimum 5 years experience in AI governance or technology ethics
  • Deep understanding of EU AI Act, NIST AI RMF, and emerging global regulations
  • Proven ability to translate ethical principles into technical specifications
  • Experience with bias detection tools and fairness metrics in ML systems
  • Strong background in stakeholder engagement across technical and non-technical audiences
  • Published research or practical experience in responsible AI deployment
  • Familiarity with 2026 technology landscape projections and AI trajectory

Required Skills

AI Ethics Governance Regulatory Compliance Risk Assessment Stakeholder Engagement Policy Development Bias Mitigation NIST AI RMF EU AI Act Machine Learning Auditing

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