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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
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI innovation as we shape responsible technology for 2026 and beyond. We're seeking visionary AI Ethics Strategists to design governance frameworks that balance innovation with human values. You'll pioneer ethical guidelines for autonomous systems, ensuring our AI solutions align with societal expectations while driving competitive advantage. This role offers unparalleled impact in defining how humanity coexists with intelligent machines.

Responsibilities

  • Develop comprehensive AI ethics frameworks for autonomous decision-making systems
  • Conduct bias audits and fairness assessments for ML models using advanced statistical methods
  • Design stakeholder engagement protocols for transparent AI governance
  • Lead cross-functional working groups on responsible AI implementation
  • Monitor evolving regulatory landscapes and adapt compliance strategies
  • Author position papers on AI ethics for industry conferences and policy discussions
  • Mentor junior researchers in ethical AI development methodologies

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with AI specialization
  • 5+ years implementing AI governance frameworks in enterprise environments
  • Deep expertise in fairness, accountability, and transparency (FAT) principles
  • Proven track record influencing AI policy development at national level
  • Strong statistical modeling skills for bias detection and mitigation
  • Published research in top-tier AI ethics journals or conferences
  • Certification in Responsible AI (e.g., IBM, Microsoft, or Stanford programs)
  • Experience with EU AI Act and NIST AI Risk Management Framework

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Policy Development Regulatory Compliance Statistical Analysis Stakeholder Engagement Autonomous Systems

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