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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

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

Job Description

Join Nexus Labs at the forefront of ethical AI development as we shape the responsible technology landscape of 2026. We're seeking a visionary AI Ethics Research Lead to pioneer frameworks that balance innovation with human values. In this pivotal role, you'll collaborate with cross-functional teams to embed ethical safeguards into cutting-edge AI systems while publishing groundbreaking research in top-tier journals. Our dynamic startup environment offers unparalleled opportunities to influence global tech standards and mentor the next generation of ethical AI practitioners. Enjoy competitive benefits, flexible work arrangements, and the chance to impact how humanity interacts with artificial intelligence.

Responsibilities

  • Develop and implement ethical AI governance frameworks for 2026 technology stack
  • Lead cross-functional audits of AI systems for bias, transparency, and accountability
  • Publish peer-reviewed research on emerging ethical challenges in generative AI
  • Advocate for ethical standards through industry panels and policy consultations
  • Mentor junior researchers and establish departmental ethics protocols
  • Partner with product teams to integrate ethical safeguards into development lifecycles
  • Monitor global regulatory developments and adapt compliance strategies

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI research experience
  • Proven track record publishing in top-tier AI ethics journals (e.g., Nature Machine Intelligence)
  • Expertise in bias mitigation, fairness metrics, and explainable AI techniques
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Exceptional communication skills for technical and non-technical stakeholders
  • Experience leading cross-functional teams in tech environments
  • Portfolio demonstrating real-world AI ethics implementation projects
  • Fluency in Python and statistical analysis tools

Required Skills

AI Ethics Machine Learning Bias Mitigation Regulatory Compliance Research Methodology Python Data Science Governance Frameworks

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