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AI Ethics Research Lead

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Horizon Labs at the forefront of ethical AI innovation as we shape responsible technology for 2026 and beyond. We're seeking a visionary AI Ethics Research Lead to design frameworks that ensure artificial intelligence systems advance humanity while safeguarding against unintended consequences. You'll collaborate with cross-functional teams to embed ethical principles into AI development lifecycles, conduct cutting-edge research on algorithmic fairness, and pioneer industry standards for transparent AI deployment.

This role offers unparalleled impact in defining how AI coexists with society in our rapidly evolving digital landscape. Our Austin hub features state-of-the-art research facilities and a culture where innovation meets integrity.

Responsibilities

  • Develop comprehensive ethical frameworks for next-generation AI systems
  • Lead interdisciplinary research teams studying algorithmic bias mitigation
  • Partner with engineering teams to implement ethical AI design principles
  • Author white papers and industry standards for transparent AI deployment
  • Advocate for ethical AI adoption through stakeholder education and policy influence
  • Oversee third-party audits of AI systems for compliance with ethical guidelines
  • Represent the company at global AI ethics symposiums and regulatory discussions

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI research experience
  • Proven track record in publishing peer-reviewed papers on algorithmic fairness or AI ethics
  • Expertise in implementing ethical AI frameworks in production environments
  • Deep understanding of global AI regulatory landscapes (EU AI Act, US Blueprint, etc.)
  • Exceptional communication skills for translating complex ethical concepts to technical teams
  • Experience leading cross-functional research initiatives with measurable outcomes
  • Proficiency in Python, TensorFlow, or PyTorch for empirical AI ethics research
  • Portfolio demonstrating real-world ethical AI implementations or policy contributions

Required Skills

AI Ethics Algorithmic Fairness Responsible AI Research Leadership Policy Development TensorFlow Python Cross-Functional Collaboration

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