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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

Nexus AI Labs
Austin
Estimated Salary
USD 140.000 – USD 190.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus AI Labs at the forefront of responsible AI innovation. We're pioneering ethical frameworks for 2026's autonomous systems and seeking a visionary AI Ethics Specialist to shape the future of human-AI collaboration. In this critical role, you'll design governance protocols that balance technological advancement with societal impact, ensuring our AI solutions embody transparency, fairness, and human-centric values. Our Austin-based hub combines cutting-edge research with startup agility, offering unparalleled opportunities to influence global AI standards while working alongside world-class ethicists, engineers, and policy experts.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with evolving regulatory landscapes
  • Conduct bias audits and risk assessments for machine learning models
  • Collaborate with product teams to embed ethical considerations into design processes
  • Lead stakeholder dialogues on AI governance and responsible deployment
  • Produce whitepapers and industry standards for ethical AI practices
  • Mentor cross-functional teams on ethical AI implementation strategies
  • Monitor emerging ethical challenges in generative AI and autonomous systems

Qualifications

  • Advanced degree in Philosophy, Computer Science, Ethics, or related field
  • 5+ years in AI ethics, responsible AI, or tech policy roles
  • Expertise in fairness, accountability, and transparency (FAT) frameworks
  • Strong background in algorithmic bias mitigation techniques
  • Experience working with regulatory bodies (NIST, EU AI Act, etc.)
  • Exceptional communication skills for technical and non-technical audiences
  • Published research in AI ethics or machine learning governance
  • Proficiency in Python for bias analysis and model auditing

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation Regulatory Compliance Stakeholder Engagement Ethical AI Design NIST AI Risk Management Framework Python

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