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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist

Innovate Tomorrow
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Innovate Tomorrow at the forefront of responsible AI development. We seek a visionary AI Ethicist to shape our ethical frameworks as we build transformative AI solutions for 2026 and beyond. You'll collaborate with engineers, policymakers, and global stakeholders to ensure our innovations advance humanity while mitigating risks. This is your chance to define the moral compass of tomorrow's digital landscape.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks aligned with emerging global standards
  • Conduct bias audits and risk assessments for machine learning models across all product lines
  • Advocate for ethical AI design principles in cross-functional development sprints
  • Lead stakeholder dialogues on AI ethics implications with regulators, NGOs, and industry partners
  • Author public-facing transparency reports and ethical impact assessments
  • Mentor teams on responsible AI deployment and ethical decision-making
  • Monitor emerging ethical challenges in AI through continuous research

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years in AI ethics
  • Proven expertise in designing bias mitigation strategies for machine learning systems
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks, etc.)
  • Exceptional ability to translate complex ethical concepts for technical and non-technical audiences
  • Track record of publishing influential research on AI ethics or responsible AI
  • Experience with interdisciplinary teams including engineers, legal, and social scientists
  • Demonstrated leadership in developing organizational ethical guidelines

Required Skills

AI Ethics Machine Learning Governance Frameworks Bias Mitigation Regulatory Compliance Stakeholder Communication Ethical Design Research Methodology

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