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AI Ethics Research Lead

Nexus Futuristics
Austin
Estimated Salary
USD 140.000 – USD 190.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Futuristics at the forefront of ethical AI development for 2026. We're seeking an AI Ethics Research Lead to shape responsible AI frameworks that will define the next generation of technology. You'll collaborate with quantum computing teams and neuro-interfaces to ensure human-centric innovation while mitigating existential risks. This role offers unparalleled impact on how society integrates advanced AI systems.

Our Austin hub features state-of-the-art labs and direct access to federal innovation grants. You'll lead cross-functional teams in developing bias-mitigation protocols, transparency algorithms, and governance frameworks for autonomous systems. Compensation includes equity, flexible remote options, and professional development in emerging fields like neuromorphic computing.

Responsibilities

  • Design and implement ethical AI governance frameworks for quantum/neural systems
  • Lead bias audits across machine learning models and predictive analytics
  • Develop transparency protocols for explainable AI (XAI) in high-stakes domains
  • Collaborate with neuro-interface teams on human-machine ethical boundaries
  • Author industry standards for autonomous system accountability
  • Mentor interdisciplinary teams on ethical AI implementation
  • Advise policymakers on emerging AI regulatory frameworks

Qualifications

  • PhD in AI Ethics, Philosophy of Technology, or related field
  • 5+ years experience in AI governance or responsible AI development
  • Published research on algorithmic bias or explainable AI
  • Expertise in quantum computing ethics or neuro-ethics
  • Strong background in regulatory frameworks (EU AI Act, NIST RMF)
  • Experience leading cross-functional technical teams
  • Proficiency in Python and data analysis for ethics auditing

Required Skills

AI Ethics Quantum Computing Explainable AI Regulatory Compliance Machine Learning Governance Neuro-ethics Python

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