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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 220.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we prepare for the technological landscape of 2026. We're seeking a visionary AI Ethics Research Lead to shape responsible AI frameworks that will define tomorrow's digital ecosystem. In this pivotal role, you'll collaborate with cross-disciplinary teams to develop governance protocols, bias mitigation strategies, and transparency standards for next-generation AI systems. Our Austin hub offers a dynamic environment where innovation meets purpose, with competitive benefits including equity participation, wellness stipends, and flexible work arrangements. Help us build technology that advances humanity while safeguarding fundamental rights.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 technology deployments
  • Lead cross-functional research initiatives on bias detection and algorithmic fairness
  • Develop industry standards for AI transparency and explainability requirements
  • Collaborate with product teams to embed ethical considerations into AI development lifecycles
  • Conduct scenario planning for emerging AI risks and societal impact assessments
  • Present findings to executive leadership and regulatory bodies
  • Mentor junior researchers in ethical AI methodologies

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field with 5+ years AI ethics experience
  • Expertise in bias detection algorithms and fairness metrics for ML systems
  • Published research in top-tier AI ethics journals (e.g., ACM FAccT, NeurIPS Ethics)
  • Experience working with regulatory bodies on AI policy development
  • Strong background in cross-cultural ethical frameworks and global tech governance
  • Proficiency in Python and statistical analysis tools for bias auditing
  • Demonstrated ability to translate complex ethical concepts for technical teams

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Algorithmic Fairness Policy Development Research Methodology Cross-Cultural Ethics Regulatory Compliance

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