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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist (2026)

Quantum Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the ethical frontier of 2026's AI revolution at Quantum Horizon Labs. We're pioneering responsible AI development and seek an visionary AI Ethicist to define frameworks that balance innovation with human values. Join our interdisciplinary team at the intersection of technology, philosophy, and policy to build a future where AI serves humanity ethically.

As a key architect of our ethical AI roadmap, you'll influence products used by millions while ensuring alignment with evolving global standards. This role offers unparalleled impact in defining how 2026's transformative technologies are deployed responsibly.

Responsibilities

  • Develop and implement ethical AI frameworks for 2026-era autonomous systems and generative AI
  • Conduct bias audits and risk assessments for AI models using advanced statistical methodologies
  • Collaborate with engineers to embed ethical safeguards into development lifecycles
  • Advocate for inclusive design practices across cross-functional product teams
  • Research emerging AI regulations and translate requirements into actionable guidelines
  • Lead stakeholder dialogues on AI ethics with industry leaders and policymakers
  • Author thought leadership publications on responsible AI futures

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 3+ years AI ethics experience
  • Expertise in bias detection methodologies and fairness metrics for machine learning
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Proven ability to translate complex ethical concepts into technical requirements
  • Experience with participatory design methodologies for inclusive technology
  • Strong background in data privacy principles and regulatory compliance
  • Exceptional communication skills for bridging technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Bias Mitigation Regulatory Compliance Data Privacy Participatory Design Philosophy NIST Framework EU AI Act Generative AI

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