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2026 AI Ethics Strategist

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Quantum Horizon Labs at the forefront of shaping ethical AI frameworks for 2026. As our AI Ethics Strategist, you'll pioneer responsible innovation in next-generation artificial intelligence systems. This pivotal role bridges cutting-edge technology with human-centric values, ensuring our quantum computing and autonomous systems align with global ethical standards while driving industry transformation.

We offer a competitive benefits package including equity, remote flexibility, and dedicated innovation time. Shape the future of human-AI collaboration in our state-of-the-art downtown San Francisco headquarters.

Responsibilities

  • Design and implement ethical governance frameworks for 2026 AI deployment strategies
  • Lead cross-functional teams in developing bias-mitigation protocols for quantum ML systems
  • Advocate for responsible AI adoption in high-stakes domains (healthcare, climate modeling)
  • Partner with policymakers to shape emerging AI regulatory landscapes
  • Conduct risk assessments for next-gen autonomous decision-making systems
  • Develop transparent explainability protocols for complex neural networks
  • Drive industry-wide ethical standards through thought leadership and white papers

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance or responsible tech leadership
  • Deep expertise in quantum computing principles and neural network architectures
  • Proven track record in developing enterprise-level ethical frameworks
  • Strong policy advocacy experience with regulatory bodies
  • Published research in AI ethics or technology philosophy
  • Proficiency in Python and ethical AI toolkits (e.g., IBM Fairness 360)
  • Certification in AI Risk Management (e.g., NIST AI RMF)

Required Skills

AI Ethics Quantum Computing Neural Networks Governance Frameworks Policy Advocacy Risk Assessment Explainable AI Philosophy of Technology

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