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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking an AI Ethics Research Lead to shape the ethical frameworks for our 2026 product roadmap. This pivotal role bridges cutting-edge AI innovation with human-centered design, ensuring our technologies advance society while mitigating risks. You'll collaborate with cross-functional teams to develop governance protocols, conduct bias audits, and pioneer transparent AI systems that align with evolving global standards.

Our Austin hub offers a dynamic environment where your expertise will directly influence how next-generation AI systems serve humanity. This is your chance to define the ethical backbone of tomorrow's most transformative technologies.

Responsibilities

  • Design and implement ethical governance frameworks for AI development lifecycle
  • Lead bias detection and mitigation initiatives across ML models
  • Develop transparency protocols for autonomous decision systems
  • Collaborate with product teams to embed ethical considerations in feature roadmaps
  • Conduct risk assessments for high-stakes AI applications
  • Author industry-leading research on responsible AI practices
  • Advocate for inclusive design in AI systems development

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years' experience
  • Proven track record in AI governance or responsible AI implementation
  • Expertise in bias detection methodologies for machine learning systems
  • Strong background in regulatory compliance (GDPR, EU AI Act, etc.)
  • Exceptional communication skills for technical and non-technical stakeholders
  • Published research in AI ethics or technology ethics journals
  • Experience with cross-functional team leadership in tech environments

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation AI Risk Assessment Regulatory Compliance Ethical AI Frameworks Research Leadership Stakeholder Communication

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