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2026 AI Ethicist

Nexus Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of responsible AI development. We're seeking a visionary 2026 AI Ethicist to shape the ethical framework for next-generation artificial intelligence systems. This role bridges cutting-edge technology with human-centered design principles, ensuring our innovations align with societal values while maintaining competitive advantage. You'll collaborate with quantum computing researchers, neuroengineers, and policy experts to build AI that augments human potential without compromising privacy or autonomy.

Why Nexus Labs? We're pioneering the neural-ethical interface paradigm – where AI systems self-regulate using embedded ethical subroutines. Our work directly impacts healthcare diagnostics, climate modeling, and human augmentation technologies deployed in 2026. This isn't just compliance; it's proactive ethics engineering.

Responsibilities

  • Design and implement adaptive ethical frameworks for autonomous decision-making systems
  • Lead cross-functional ethics audits of AI prototypes using predictive harm modeling
  • Develop quantum-secure ethical protocols for sensitive biometric data processing
  • Coordinate with neuroethicists to establish human-AI symbiosis boundaries
  • Create real-time ethical monitoring dashboards for deployed systems
  • Author industry whitepapers on 2026 AI governance standards
  • Train engineering teams on ethical AI development methodologies

Qualifications

  • PhD in Ethics, Philosophy, Cognitive Science, or related field (Master's with 5+ years experience)
  • Expertise in ISO/IEC 42001 and IEEE 7000 standards
  • Proficiency in ethical algorithm design (fairness, accountability, transparency)
  • Experience with federated learning and differential privacy systems
  • Deep understanding of neuroethics and human-computer interaction principles
  • Published research on AI bias mitigation or moral machine learning
  • Ability to translate complex ethical concepts into engineering requirements

Required Skills

AI Ethics Quantum Computing Ethics Neuroethics Algorithmic Bias Mitigation ISO/IEC 42001 IEEE 7000 Federated Learning Differential Privacy Philosophical Logic

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