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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Lead

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

Job Description

Shape the ethical frontier of artificial intelligence at Nexus Future Labs. As we approach 2026, the intersection of AI and human values demands visionary leadership. We're seeking an AI Ethics Lead to architect responsible frameworks that balance innovation with societal impact. Join our multidisciplinary team at the vanguard of technological evolution.

This pivotal role requires deep technical acumen coupled with philosophical rigor. You'll influence how AI systems interact with humanity while maintaining our commitment to transparency, fairness, and human-centric design. Help us build a future where technology elevates human potential.

Responsibilities

  • Develop comprehensive AI ethics governance frameworks for 2026-era autonomous systems
  • Lead cross-functional audits of machine learning models for bias and fairness
  • Establish real-time ethical monitoring protocols for deployed AI solutions
  • Collaborate with product teams to embed ethical considerations into development lifecycles
  • Author industry standards for transparent AI decision-making systems
  • Represent ethical considerations in C-suite technology strategy discussions
  • Drive research on emerging ethical challenges in quantum computing integration

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 8+ years experience
  • Proven expertise in developing AI ethics frameworks for autonomous systems
  • Published research on algorithmic bias mitigation or explainable AI
  • Certification in Responsible AI from IEEE or ACM (required)
  • Experience working with regulatory bodies on AI governance standards
  • Deep understanding of 2026 technology landscape including quantum computing
  • Exceptional communication skills for translating complex ethics to technical teams

Required Skills

AI Ethics Governance Frameworks Machine Learning Audits Explainable AI Quantum Computing Ethics Regulatory Compliance Algorithmic Bias Mitigation

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