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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist 2026

Quantum Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Quantum Horizon Labs at the forefront of responsible AI development. We're seeking visionary AI Ethicists to shape the ethical frameworks that will govern artificial intelligence in 2026 and beyond. This pivotal role bridges cutting-edge technology with human-centric values, ensuring our innovations align with societal good. Work alongside world-class researchers in our Austin headquarters, where we're pioneering solutions that will define the next generation of AI.

Responsibilities

  • Develop comprehensive ethical guidelines for autonomous systems and generative AI models
  • Conduct bias audits and impact assessments for AI deployment in critical infrastructure
  • Collaborate with engineering teams to embed ethical safeguards into AI development pipelines
  • Advise C-suite on regulatory compliance and emerging ethical standards in AI
  • Lead cross-functional workshops to align stakeholders on responsible AI principles
  • Research and publish frameworks for ethical AI governance in 2026+ contexts
  • Monitor global AI policy evolution and adapt organizational strategies accordingly

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI ethics, responsible AI, or technology policy
  • Deep understanding of bias mitigation techniques in machine learning systems
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, etc.)
  • Proven ability to translate complex ethical concepts into technical requirements
  • Experience with interdisciplinary research in human-AI interaction
  • Strong background in data science or AI fundamentals
  • Published work in AI ethics or technology ethics journals preferred

Required Skills

AI Ethics Machine Learning Policy Development Bias Mitigation NIST AI RMF EU AI Act Interdisciplinary Research Data Governance

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