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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead

Nexus AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of ethical AI development as we shape the technological landscape of 2026. We're seeking an AI Ethics Lead to architect responsible frameworks for next-generation autonomous systems and predictive analytics. This role bridges cutting-edge AI innovation with human-centric governance, ensuring our technologies advance society while mitigating existential risks.

You'll collaborate with quantum computing researchers, neuro-ethicists, and global policy makers to establish industry-first ethical standards. Our state-of-the-art lab in San Francisco offers unparalleled resources to pioneer solutions for algorithmic fairness, bias mitigation, and transparent decision-making systems.

Responsibilities

  • Develop and implement ethical governance frameworks for generative AI and neural networks
  • Lead cross-functional audits of AI systems for bias, privacy, and safety compliance
  • Establish international standards for AI transparency and explainability in 2026 tech ecosystems
  • Design bias mitigation protocols for predictive analytics in healthcare and finance
  • Advocate for ethical AI adoption through whitepapers, policy briefs, and industry forums
  • Train engineers on responsible AI development methodologies and ethical deployment protocols
  • Partner with regulatory bodies to shape legislation for AI accountability frameworks

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Expertise in bias detection algorithms and fairness metrics for machine learning systems
  • Proven track record developing ethical frameworks for autonomous systems or generative AI
  • Deep understanding of global AI regulations (EU AI Act, US AI Bill of Rights, etc.)
  • Published research on AI ethics or technology ethics in peer-reviewed journals
  • Experience with stakeholder communication across technical, legal, and public sectors
  • Certification in AI ethics governance (e.g., IEEE Ethically Aligned Design, ACM/IEEE)

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Algorithmic Transparency Regulatory Compliance Quantum Ethics Neuro-Ethics Policy Development

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