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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. As our AI Ethics Strategist, you'll architect governance frameworks for autonomous systems deployed in 2026 and beyond. This role bridges cutting-edge technology with ethical imperatives, ensuring our AI solutions advance humanity while mitigating risks. You'll collaborate with quantum computing researchers, neuro-engineers, and policy makers to shape the ethical backbone of tomorrow's digital ecosystems.

We offer competitive equity, unlimited learning stipends, and the opportunity to pioneer ethical standards for emerging technologies. Our headquarters features a biophilic design with meditation pods and neurofeedback labs to optimize your innovative potential.

Responsibilities

  • Develop ethical frameworks for generative AI and autonomous decision systems
  • Conduct bias audits for machine learning models deployed in critical infrastructure
  • Partner with quantum computing teams to address ethical implications of quantum AI
  • Design real-time ethics monitoring dashboards for deployed AI systems
  • Lead cross-functional workshops on neuro-ethical implications of brain-AI interfaces
  • Author position papers on AI governance for regulatory bodies and industry coalitions
  • Mentor junior engineers on responsible AI development practices

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI governance, policy development, or ethics compliance
  • Expertise in EU AI Act, NIST AI Risk Framework, and emerging global regulations
  • Proficiency with bias detection tools (Aequitas, IBM Fairness 360)
  • Published work on AI ethics or technology ethics in peer-reviewed journals
  • Experience with federated learning and differential privacy techniques
  • Strong background in risk assessment methodologies for complex systems
  • Certification in AI Ethics or Responsible AI (e.g., Stanford HAI, DeepMind)

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Quantum Computing Ethics Neuro-ethics Risk Assessment Policy Development

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