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AI Ethics Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we shape the responsible frameworks for 2026 and beyond. We're seeking a visionary AI Ethics Research Lead to pioneer governance models for next-generation autonomous systems. This role offers the opportunity to influence industry standards while working with Nobel laureates and UN advisors on global AI safety initiatives. Our Austin-based hub combines cutting-edge research with real-world implementation, offering unparalleled impact in the AI ethics landscape.

As part of our elite Future Governance Division, you'll lead cross-functional teams in developing auditable AI transparency protocols and bias mitigation frameworks. We provide competitive equity packages, unlimited PTO, and dedicated research funding for your breakthrough projects. Help us build an AI future that's both revolutionary and responsible.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous decision-making systems
  • Lead cross-disciplinary research teams in bias detection and algorithmic fairness
  • Develop audit protocols for AI systems using quantum verification methods
  • Collaborate with global policymakers on AI safety standards for 2026 deployment
  • Create transparency mechanisms for explainable AI in high-stakes applications
  • Author white papers and influence industry standards through IEEE/ISO committees
  • Mentor junior researchers in responsible AI development practices

Qualifications

  • Ph.D. in Computer Science, Ethics, Philosophy, or related field with 5+ years AI research
  • Published work on algorithmic bias mitigation or explainable AI in top-tier journals
  • Expertise in ethical frameworks (EU AI Act, NIST RMF) and regulatory landscapes
  • Experience with quantum computing applications in verification systems
  • Proven ability to translate complex ethical concepts into implementable technical standards
  • Strong background in statistical analysis and machine learning model auditing
  • Experience collaborating with government agencies on technology policy

Required Skills

AI Ethics Governance Frameworks Algorithmic Fairness Quantum Verification Explainable AI Regulatory Compliance Statistical Analysis Machine Learning Auditing

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