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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Officer

InnovateAI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

InnovateAI Solutions is pioneering the future of responsible artificial intelligence. We seek a visionary AI Ethics Officer to shape the ethical backbone of our groundbreaking technologies. Join us in building AI systems that prioritize human values, equity, and transparency while driving innovation that redefines industries.

This role demands a blend of technical acumen and philosophical rigor. You'll collaborate with cross-functional teams to embed ethical frameworks into AI development cycles, ensuring our technologies advance humanity without compromising integrity. If you're passionate about harnessing AI's potential while safeguarding societal welfare, this is your moment to make history.

Responsibilities

  • Develop and implement comprehensive ethical guidelines for AI systems and algorithms
  • Conduct bias audits and fairness assessments across machine learning models
  • Lead cross-functional ethics committees with engineering, legal, and product teams
  • Advocate for responsible AI practices in product development lifecycles
  • Monitor emerging AI regulations and ensure organizational compliance
  • Design ethics training programs for technical and non-technical stakeholders
  • Author white papers on ethical AI frameworks and industry standards

Qualifications

  • Advanced degree in Computer Science, Ethics, Philosophy, or related field
  • 5+ years in AI/ML with demonstrated focus on ethical implications
  • Expertise in bias detection, fairness metrics, and interpretability techniques
  • Strong understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Exceptional communication skills for translating complex ethics concepts
  • Experience with stakeholder management across diverse technical teams
  • Published work in AI ethics or responsible technology domains

Required Skills

AI Ethics Machine Learning Regulatory Compliance Bias Detection Policy Development Data Privacy Stakeholder Communication Governance

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