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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureHorizon Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureHorizon Labs at the forefront of responsible AI development. We're seeking a visionary AI Ethics & Governance Specialist to shape ethical frameworks for next-generation autonomous systems. As a key player in our Innovation Division, you'll ensure our AI solutions align with human values while driving technological breakthroughs.

Why join us? Be part of a team redefining the future of human-AI collaboration. We offer competitive compensation, cutting-edge projects, and the opportunity to influence global AI policy. Your work will directly impact how society interacts with emerging technologies.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for autonomous systems
  • Conduct bias audits and fairness assessments across machine learning pipelines
  • Collaborate with engineering teams to embed ethical safeguards into AI development lifecycle
  • Advocate for transparent AI practices through stakeholder engagement and policy development
  • Lead cross-functional initiatives to align AI outputs with societal values and legal requirements
  • Monitor emerging AI regulations and adapt governance strategies proactively

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
  • 5+ years experience in AI ethics, governance, or responsible AI implementation
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Expertise in bias detection and mitigation techniques for ML systems
  • Strong analytical skills with ability to translate ethical principles into technical requirements
  • Proven track record of influencing organizational AI strategy and policy
  • Experience working with autonomous systems and decision-making algorithms

Required Skills

AI Ethics Governance Machine Learning Bias Policy Development Autonomous Systems NIST Framework EU AI Act Stakeholder Engagement

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