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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
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking visionary AI Ethics Strategists to shape responsible innovation in an era of exponential technological growth. Lead our mission to ensure AI systems align with human values, driving breakthroughs that empower humanity while mitigating existential risks. Collaborate with quantum computing researchers, neuroscientists, and policy architects to build frameworks for ethical AI deployment across autonomous systems, biotechnology, and immersive realities.

As part of our elite Future Governance team, you'll pioneer methodologies for algorithmic transparency, bias mitigation, and ethical foresight. Your work will directly influence global standards for AI development in post-quantum environments.

Responsibilities

  • Design and implement ethical governance frameworks for next-generation AI systems
  • Lead cross-functional audits of autonomous decision-making algorithms
  • Develop bias mitigation protocols for quantum neural networks
  • Collaborate with policymakers on AI regulatory standards for 2026+
  • Conduct ethical impact assessments for emerging technologies
  • Create training programs for AI ethics compliance in organizations
  • Research existential risks from advanced AI systems

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics governance or tech policy
  • Expertise in bias mitigation and algorithmic transparency
  • Deep understanding of quantum computing limitations
  • Published research on AI existential risks
  • Experience with ISO/IEC 42001 standards
  • Proficiency in Python and ethical AI toolkits
  • Strong background in cross-cultural ethical frameworks

Required Skills

AI Ethics Quantum Computing Algorithmic Transparency Bias Mitigation Policy Development Risk Assessment Machine Learning Governance Frameworks

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