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AI Ethics Specialist

InnovateTech Solutions
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join InnovateTech Solutions at the forefront of responsible AI development. We're seeking an AI Ethics Specialist to shape the future of ethical technology in 2026 and beyond. This role offers a unique opportunity to pioneer frameworks that ensure AI systems align with human values, privacy standards, and societal good. Collaborate with cross-functional teams to embed ethics into the AI lifecycle while driving industry-leading initiatives.

Our ideal candidate thrives at the intersection of technology and philosophy, with a passion for creating equitable AI solutions. You'll work in our state-of-the-art San Francisco hub alongside world-class researchers and engineers who are redefining what's possible in artificial intelligence.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with global standards (EU AI Act, NIST AI RMF)
  • Conduct bias audits and fairness assessments across ML models and datasets
  • Lead stakeholder workshops to define ethical guidelines for emerging AI applications
  • Monitor regulatory developments and advise on compliance strategies
  • Author transparency reports and ethical impact assessments
  • Mentor engineering teams on responsible AI development practices
  • Represent the company at industry ethics forums and conferences

Qualifications

  • Master's degree in Philosophy, Ethics, Computer Science, or related field (PhD preferred)
  • 3+ years in AI ethics, governance, or responsible AI roles
  • Expertise in bias mitigation techniques and fairness metrics
  • Deep understanding of global AI regulatory landscapes
  • Strong background in qualitative research and stakeholder engagement
  • Experience with MLOps and AI development lifecycle
  • Published work in ethics journals or conference proceedings

Required Skills

AI Ethics Machine Learning Regulatory Compliance Bias Mitigation Stakeholder Engagement Philosophy Data Privacy Research Methodology

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