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AI Ethics & Governance Lead

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Innovate Tomorrow Labs at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We seek a visionary AI Ethics & Governance Lead to establish global standards for transparent, equitable, and accountable artificial intelligence systems. This pivotal role bridges cutting-edge AI research with human-centric values, ensuring our innovations serve humanity ethically.

As a mission-driven organization pioneering quantum computing and neural interfaces, we're committed to building technology that advances society while safeguarding fundamental rights. You'll architect governance frameworks that anticipate 2026's AI landscape, from algorithmic bias mitigation to global compliance standards.

Responsibilities

  • Develop and implement AI ethics governance frameworks for 2026 technology ecosystems
  • Lead cross-functional audits of AI systems for bias, privacy, and safety compliance
  • Establish industry partnerships to shape global AI ethics standards
  • Train technical teams on responsible AI development practices
  • Advocate for ethical AI adoption in policy discussions and industry forums
  • Monitor emerging AI risks and update governance protocols proactively
  • Lead incident response for ethical breaches in AI deployments

Qualifications

  • Master's degree in AI Ethics, Computer Science, Philosophy, or related field (PhD preferred)
  • 5+ years in AI governance, ethics, or responsible tech leadership
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, etc.)
  • Proven experience designing bias mitigation algorithms
  • Deep understanding of 2026's AI landscape (quantum computing, AGI, neurotech)
  • Certification in AI ethics (e.g., IEEE, ACM, or equivalent)
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

AI Ethics Governance Frameworks Regulatory Compliance Bias Mitigation Quantum Computing Neurotechnology Policy Development Risk Management

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