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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist - 2026 Visionary

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus AI Labs at the forefront of technological evolution as we pioneer ethical AI frameworks for 2026. We seek a visionary AI Ethicist to shape responsible innovation in an era of unprecedented technological advancement. This role bridges cutting-edge AI development with human-centric governance, ensuring our systems align with societal values while driving industry transformation.

As a key architect of our 2026 ethics roadmap, you'll collaborate with world-class researchers to implement auditable fairness protocols, bias mitigation strategies, and transparent governance systems. This is your opportunity to define the ethical boundaries of tomorrow's AI landscape while influencing global standards.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 product roadmaps
  • Conduct algorithmic bias audits and fairness assessments across ML pipelines
  • Develop transparency protocols for AI decision-making systems
  • Lead cross-functional workshops on responsible AI practices
  • Create ethics compliance documentation for regulatory bodies
  • Advocate for human-centric AI design principles in product development
  • Monitor emerging ethical challenges in generative AI and autonomous systems

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics governance or responsible AI development
  • Expertise in fairness metrics, bias detection, and explainable AI techniques
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Proven ability to translate complex ethical concepts into technical requirements
  • Strong background in machine learning and data science fundamentals
  • Published research in AI ethics or adjacent fields preferred
  • Exceptional communication skills for stakeholder education

Required Skills

AI Ethics Machine Learning Governance Algorithmic Fairness Explainable AI Regulatory Compliance Bias Mitigation Ethical Framework Design NIST AI RMF EU AI Act

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