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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist & Futurist

Horizon Dynamics Inc.
Austin
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Shape the ethical frontier of 2026 with Horizon Dynamics Inc., a leader in responsible AI development. We seek visionary AI Ethicists to design frameworks ensuring artificial intelligence aligns with human values in an era of exponential technological growth. Join our cross-disciplinary team of futurists, engineers, and policy experts to define the next generation of ethical AI standards.

Located in Austin's thriving tech ecosystem, you'll influence global AI governance while working on projects that impact billions. We offer competitive compensation, flexible work arrangements, and opportunities to present at premier industry conferences.

Responsibilities

  • Develop and implement ethical AI governance frameworks for autonomous systems and neural networks
  • Conduct foresight research on emerging AI applications (2030+ implications)
  • Collaborate with engineering teams to embed ethical safeguards in ML pipelines
  • Author policy recommendations for regulatory bodies and industry standards
  • Lead stakeholder workshops with diverse communities to democratize AI ethics
  • Analyze bias mitigation strategies for generative AI models
  • Monitor global AI regulatory trends and adapt frameworks accordingly

Qualifications

  • Advanced degree in Philosophy, Ethics, Computer Science, or related field
  • 3+ years experience in AI ethics, policy, or responsible tech development
  • Deep understanding of ethical frameworks (utilitarianism, deontology, virtue ethics)
  • Expertise in bias detection/mitigation for machine learning systems
  • Strong research methodology with peer-reviewed publication record
  • Experience with regulatory processes (EU AI Act, NIST frameworks)
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Foresight Research Policy Development Bias Mitigation Neural Networks Governance Frameworks Stakeholder Engagement

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