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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Policy Lead

Foresight Labs
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Foresight Labs at the forefront of shaping humanity's technological future. We're seeking an visionary AI Ethics & Policy Lead to architect responsible frameworks for 2026 and beyond. This pivotal role bridges cutting-edge AI development with societal governance, ensuring innovation aligns with human values. You'll collaborate with quantum computing researchers, neurotech engineers, and global policymakers to create guardrails for autonomous systems, biometric AI, and neural interfaces.

Our dynamic team operates at the intersection of technology and philosophy, offering competitive benefits, flexible work arrangements, and the opportunity to directly influence next-generation ethical standards. If you're passionate about ensuring AI serves humanity's best interests, we invite you to apply.

Responsibilities

  • Develop comprehensive ethical frameworks for emerging AI technologies (2026 focus)
  • Advocate for responsible AI deployment in public policy discussions
  • Lead cross-functional audits of algorithmic bias and transparency
  • Design governance protocols for autonomous decision-making systems
  • Conduct scenario planning for existential AI risk mitigation
  • Represent company in international ethics summits and standards bodies
  • Mentor junior engineers on ethical implementation practices

Qualifications

  • Advanced degree in Philosophy, Ethics, Computer Science, or Policy (PhD preferred)
  • 5+ years in AI governance or technology ethics leadership
  • Published work on algorithmic bias or AI safety frameworks
  • Experience with regulatory bodies (NIST, IEEE, EU AI Act)
  • Deep understanding of quantum computing and neurotechnology implications
  • Exceptional stakeholder communication across technical/non-technical domains
  • Track record of implementing ethical AI in production environments
  • Certification in Responsible AI Governance (e.g., RACI)

Required Skills

AI Ethics Policy Development Algorithmic Governance Quantum Computing Ethics Neurotechnology Policy Risk Assessment Stakeholder Communication Regulatory Compliance

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