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Artificial Intelligence 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Horizon
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Horizon at the forefront of responsible AI innovation as we redefine ethical frameworks for 2026 and beyond. We're seeking visionary AI Ethics Strategists to guide our development of autonomous systems that align with human values. You'll collaborate with cross-functional teams to embed ethics-by-design principles into cutting-edge AI solutions, ensuring transparency, fairness, and societal benefit.

As a pioneer in ethical AI, you'll shape industry standards while working in a dynamic environment that values intellectual curiosity and impact-driven innovation. Our competitive package includes equity, flexible work arrangements, and continuous learning opportunities.

Responsibilities

  • Develop comprehensive ethical risk assessment frameworks for emerging AI technologies
  • Collaborate with product teams to implement bias mitigation algorithms and fairness metrics
  • Lead stakeholder consultations across industries to establish universal AI ethics standards
  • Conduct longitudinal impact studies on deployed AI systems in real-world scenarios
  • Design governance protocols for AI decision-making transparency and auditability
  • Advocate for ethical AI adoption through whitepapers and industry conferences

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI governance, policy development, or responsible tech implementation
  • Expertise in algorithmic bias detection and mitigation techniques
  • Strong background in cross-cultural ethical frameworks and global AI regulations
  • Published research in AI ethics or adjacent fields (peer-reviewed)
  • Proficiency in quantitative analysis tools for ethical impact assessment
  • Experience advising C-suite executives on AI risk management strategies

Required Skills

AI Ethics Algorithmic Governance Risk Assessment Bias Mitigation Policy Development Stakeholder Engagement Research Methodology Quantitative Analysis

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