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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI innovation. As we approach 2026, we seek an AI Ethics Strategist to shape the future of ethical technology deployment. This pivotal role bridges cutting-edge AI development with human-centered design principles, ensuring our solutions align with global ethical standards while driving business growth.

You'll lead cross-functional initiatives to embed ethical frameworks into AI lifecycle management, from algorithm design to deployment monitoring. This is your opportunity to influence how humanity interacts with autonomous systems in the coming decade.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with EU AI Act, NIST standards, and emerging global regulations
  • Conduct bias audits and fairness assessments across machine learning models and datasets
  • Lead stakeholder workshops with engineers, product managers, and legal teams to integrate ethical considerations
  • Monitor real-time AI deployment for ethical compliance risks and mitigation strategies
  • Author transparent AI impact assessments and ethics documentation for regulatory reporting
  • Drive industry thought leadership through whitepapers and conference presentations
  • Partner with policy teams to shape corporate AI governance protocols

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
  • 5+ years experience in AI governance, responsible AI, or ethics compliance
  • Deep understanding of bias mitigation techniques in machine learning systems
  • Proven experience developing AI ethics frameworks for commercial deployments
  • Strong knowledge of global AI regulations (EU AI Act, US AI Bill of Rights, etc.)
  • Exceptional communication skills for translating technical concepts to non-technical stakeholders
  • Experience with MLOps tools and AI system monitoring platforms
  • Published work in AI ethics or responsible technology field

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Regulatory Compliance NIST Framework EU AI Act Stakeholder Communication AI Impact Assessment

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