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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist 2026

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Shape the ethical frontier of artificial intelligence in 2026. Nexus Innovations seeks a visionary AI Ethicist to define responsible AI frameworks for next-generation autonomous systems. Lead cross-functional teams in developing bias mitigation protocols, transparency standards, and governance frameworks for AI deployments impacting billions of lives.

Join our mission at the intersection of technology and humanity. This hybrid role requires deep technical expertise combined with philosophical rigor to navigate complex ethical dilemmas in autonomous decision-making systems. You'll directly influence how AI serves humanity while preventing unintended consequences.

Responsibilities

  • Design and implement ethical governance frameworks for AI/ML systems deployed in critical infrastructure
  • Conduct bias audits and impact assessments for autonomous decision algorithms
  • Develop transparency standards and explainability protocols for high-stakes AI applications
  • Lead cross-functional ethics committees comprising engineers, legal, and social scientists
  • Establish compliance frameworks for evolving AI regulatory landscape post-2025
  • Author industry white papers on responsible AI adoption methodologies
  • Advocate for ethical considerations in product development lifecycle

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field with AI specialization
  • Minimum 7 years developing ethical frameworks for autonomous systems
  • Expertise in algorithmic bias mitigation and fairness metrics
  • Deep understanding of global AI regulatory trends (EU AI Act, US frameworks)
  • Published research in AI ethics or responsible technology governance
  • Experience with stakeholder engagement across technical and non-technical audiences
  • Certification in AI ethics or responsible AI development (e.g., IBM AI Ethics, Google ML)

Required Skills

AI Ethics Algorithmic Bias Autonomous Systems Governance Frameworks Regulatory Compliance Explainable AI Stakeholder Engagement

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