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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

Nexus AI Solutions
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of responsible innovation as we shape the future of artificial intelligence. We're seeking an AI Ethics Specialist to embed ethical frameworks into cutting-edge AI systems. This role bridges technology and philosophy, ensuring our AI solutions advance humanity while mitigating risks. You'll work with world-class teams in our state-of-the-art San Francisco hub, influencing AI governance across industries.

We offer a comprehensive benefits package including equity, unlimited PTO, and professional development stipends. Be part of a mission-driven culture where your expertise directly impacts global AI standards.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with NIST and EU AI Act standards
  • Conduct ethical risk assessments for AI deployment in healthcare and autonomous systems
  • Lead cross-functional workshops on algorithmic bias mitigation and fairness metrics
  • Advise product teams on ethical implications of generative AI and large language models
  • Author corporate AI ethics policies and transparency documentation
  • Monitor emerging AI regulations and ensure organizational compliance
  • Collaborate with legal teams on AI governance and accountability structures

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field; PhD preferred
  • 5+ years in AI ethics, responsible AI, or technology governance roles
  • Expertise in bias mitigation techniques for ML systems and LLMs
  • Deep understanding of global AI regulations (EU AI Act, NIST RMF, etc.)
  • Proven experience translating ethical principles into technical requirements
  • Strong communication skills for presenting complex concepts to diverse stakeholders
  • Portfolio of published ethics frameworks or research papers

Required Skills

AI Ethics Machine Learning Governance Risk Management Bias Mitigation NIST Framework EU AI Act Data Science Policy Development Stakeholder Communication

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