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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
Austin
Estimated Salary
USD 140.000 – USD 190.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development. We're pioneering responsible AI frameworks for 2026 and beyond, seeking visionary strategists to shape the future of human-AI collaboration. Our multidisciplinary team works with Fortune 500 clients to implement ethical AI governance, bias mitigation, and transparent algorithmic decision-making.

This role combines cutting-edge technical knowledge with philosophical foresight, requiring candidates who understand both the technical capabilities of AI and its societal implications. You'll influence policy, design ethical frameworks, and lead initiatives that ensure AI development aligns with human values.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Conduct bias audits and algorithmic impact assessments for enterprise AI systems
  • Lead cross-functional workshops on responsible AI implementation
  • Advise C-suite executives on ethical AI strategy and governance
  • Research emerging AI risks and opportunities in biotechnology, automation, and quantum computing
  • Design transparency protocols for automated decision-making systems
  • Create educational materials for stakeholders on AI ethics principles

Qualifications

  • Advanced degree in Computer Science, Philosophy, Ethics, or related field
  • 5+ years in AI governance, ethics, or responsible AI implementation
  • Deep understanding of ML fairness metrics and bias mitigation techniques
  • Experience with AI regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong background in policy analysis and stakeholder engagement
  • Published research or practical experience in AI ethics or philosophy of technology
  • Ability to communicate complex technical concepts to non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Policy Analysis Regulatory Compliance Stakeholder Engagement Ethical Framework Design Futurism

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