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2026 AI Ethics Research Lead

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of responsible AI innovation. We're seeking a visionary 2026 AI Ethics Research Lead to shape the future of ethical artificial intelligence. As a key architect of our next-generation AI governance framework, you'll define ethical standards for autonomous systems while collaborating with world-class researchers. This hybrid role offers unparalleled impact in defining how humanity coexists with superintelligent AI by 2026.

Our Austin headquarters features state-of-the-art ethics labs and cross-functional innovation pods. You'll lead a diverse team of ethicists, machine learning specialists, and policy experts while publishing groundbreaking research in top-tier journals. The compensation package includes equity, unlimited PTO, and comprehensive wellness benefits.

Responsibilities

  • Design and implement ethical frameworks for autonomous AI systems by 2026
  • Lead cross-functional research teams in bias mitigation and transparency protocols
  • Develop predictive models for AI societal impact assessment
  • Collaborate with policy makers on AI governance legislation
  • Publish peer-reviewed research in AI ethics and safety
  • Establish industry-wide standards for human-AI symbiosis
  • Present findings at global AI ethics summits

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance or responsible AI development
  • Published research in top-tier AI ethics journals
  • Expertise in bias detection/quantification methodologies
  • Experience with international AI policy frameworks
  • Strong programming skills in Python/R for ethics modeling
  • Proven ability to lead multidisciplinary research teams
  • Deep understanding of existential risk mitigation

Required Skills

AI Ethics Machine Learning Governance Predictive Modeling Bias Mitigation Policy Development Research Leadership Python R Cross-functional Collaboration

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