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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI innovation. We're seeking an AI Ethics Lead to shape the ethical frameworks for our 2026-generation autonomous systems. This pivotal role bridges cutting-edge technology with human-centric values, ensuring our AI solutions advance society while safeguarding privacy and equity. You'll collaborate with world-class engineers, policymakers, and ethicists to build the next generation of transparent, accountable AI.

Our dynamic startup environment offers unparalleled growth opportunities, comprehensive benefits including equity packages, and the chance to define the future of ethical tech. If you're passionate about making AI a force for good, this is your moment to lead the conversation.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for autonomous systems
  • Lead cross-functional audits of algorithmic bias and fairness across AI models
  • Partner with product teams to embed ethical design principles into AI development lifecycles
  • Represent the company in industry ethics panels and regulatory discussions
  • Create educational programs for engineers on responsible AI practices
  • Establish metrics for ethical AI performance and continuous improvement

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Proven track record designing ethics frameworks for autonomous systems
  • Expertise in algorithmic bias mitigation and fairness assessment techniques
  • Strong background in regulatory compliance (GDPR, CCPA, AI Act)
  • Exceptional communication skills for translating complex concepts to diverse stakeholders
  • Published research in top-tier AI ethics journals
  • Experience with agile development methodologies

Required Skills

AI Ethics Autonomous Systems Governance Frameworks Algorithmic Bias Regulatory Compliance Cross-functional Leadership Ethical Design Policy Development

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