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AI Ethics Lead | 2026 Visionary

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development. As our AI Ethics Lead for 2026, you'll architect responsible AI frameworks that shape the future of technology. This role combines cutting-edge AI expertise with profound ethical foresight to ensure our innovations align with human values and societal progress.

We offer a dynamic environment where your work directly impacts how humanity interacts with artificial intelligence in the coming decade. Collaborate with world-class researchers, policymakers, and engineers to define the ethical standards that will guide AI development through 2030 and beyond.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for 2026 product roadmaps
  • Lead cross-functional teams in auditing AI systems for bias, fairness, and transparency
  • Advise executive leadership on emerging ethical risks and regulatory compliance
  • Create educational programs for employees on responsible AI development practices
  • Represent the company in global AI ethics forums and policy discussions
  • Establish metrics for measuring AI system alignment with human values
  • Partner with legal teams to ensure compliance with evolving international AI regulations

Qualifications

  • PhD or Master's degree in AI Ethics, Philosophy, Computer Science, or related field
  • 5+ years of experience in AI governance, responsible AI development, or ethics policy
  • Deep understanding of emerging AI regulations (EU AI Act, NIST frameworks)
  • Proven ability to translate complex ethical concepts into technical requirements
  • Experience leading cross-disciplinary teams in tech or research environments
  • Strong publication record in AI ethics or adjacent fields
  • Expertise in bias detection and mitigation for ML systems
  • Knowledge of global AI policy landscape and future regulatory trends

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation AI Policy Regulatory Compliance Ethical AI Frameworks Cross-functional Leadership Future Tech Foresight

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