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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Horizons at the forefront of responsible innovation as we pioneer ethical AI frameworks for 2026 and beyond. We seek a visionary AI Ethics Strategist to shape our next-generation autonomous systems, ensuring alignment with human values and societal impact. This role bridges cutting-edge technology with profound philosophical inquiry, requiring deep technical acumen and ethical foresight. Collaborate with cross-disciplinary teams to embed ethics into AI lifecycles while navigating complex regulatory landscapes. Be the conscience of our digital future in a dynamic, mission-driven environment.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for autonomous systems
  • Conduct bias audits and fairness assessments on machine learning models
  • Partner with product teams to embed ethical considerations in design sprints
  • Produce whitepapers and policy recommendations for regulatory bodies
  • Lead stakeholder workshops on ethical AI adoption with industry leaders
  • Monitor emerging ethical challenges in AI deployment and mitigation strategies
  • Represent company at global AI ethics summits and regulatory hearings

Qualifications

  • Advanced degree in Philosophy, Computer Science, Ethics, or related field
  • 5+ years experience in AI ethics, algorithmic governance, or responsible AI
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Expertise in bias detection techniques and fairness metrics
  • Proven ability to translate complex ethical concepts into technical requirements
  • Experience with stakeholder engagement across diverse cultural contexts
  • Published work in AI ethics or related journals preferred
  • Strong background in at least one ML framework (TensorFlow, PyTorch)

Required Skills

AI Ethics Algorithmic Governance Bias Auditing Machine Learning Policy Development Ethical AI Regulatory Compliance Stakeholder Engagement

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