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AI Ethics Strategist

Innovate Tomorrow Inc.
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Innovate Tomorrow Inc. at the forefront of ethical AI development. We're seeking a visionary AI Ethics Strategist to shape responsible AI frameworks for 2026 and beyond. In this pivotal role, you'll define governance policies, audit algorithmic fairness, and lead cross-functional initiatives ensuring AI aligns with human values. Work alongside our elite research teams in a collaborative environment where your expertise directly impacts global tech standards.

This position offers unparalleled opportunities to influence emerging regulations and pioneer industry best practices. If you're passionate about democratizing AI ethics while driving innovation, this is your moment to make history.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with global standards
  • Conduct algorithmic bias audits and remediation for ML models
  • Collaborate with engineering teams to embed ethical design principles in product development
  • Advocate for transparent AI practices through stakeholder education and policy recommendations
  • Lead cross-functional ethics committees and regulatory compliance initiatives
  • Research emerging ethical challenges in generative AI and predictive analytics
  • Partner with legal teams to ensure adherence to evolving AI regulations

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, ethics, or responsible tech roles
  • Expertise in algorithmic bias detection and mitigation techniques
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Proven experience developing corporate AI ethics policies
  • Strong analytical skills with ability to translate complex ethical concepts
  • Certification in AI ethics or machine learning governance preferred
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Algorithmic Fairness Policy Development Regulatory Compliance Ethical AI Design Stakeholder Education NIST Framework EU AI Act

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