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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Join Nexus Labs at the forefront of responsible AI innovation. We're seeking an AI Ethics Researcher to shape the ethical frameworks for artificial intelligence systems that will define 2026 and beyond. In this pivotal role, you'll collaborate with world-class engineers and policymakers to ensure our AI solutions align with human values while driving technological advancement.

You'll pioneer research on bias mitigation, algorithmic transparency, and societal impact of autonomous systems. Your work directly influences product development and corporate governance, making you a cornerstone of our commitment to ethical innovation.

Responsibilities

  • Design and conduct cutting-edge research on AI ethics, fairness, and governance frameworks
  • Develop ethical guidelines for autonomous systems and machine learning models
  • Collaborate with engineering teams to implement bias detection and mitigation techniques
  • Author white papers and policy recommendations for regulatory bodies
  • Lead cross-functional workshops on responsible AI implementation
  • Analyze societal impact of emerging AI technologies in healthcare, finance, and transportation
  • Maintain thought leadership through academic publications and industry conferences

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field (Master's with exceptional experience)
  • 3+ years researching AI ethics, algorithmic bias, or responsible AI
  • Published work in top-tier AI ethics or philosophy journals
  • Expertise in bias detection tools and fairness metrics (e.g., AIF360, Fairlearn)
  • Experience working with interdisciplinary teams (engineers, policymakers, social scientists)
  • Deep understanding of EU AI Act, NIST AI RMF, and evolving global regulations
  • Strong analytical skills with ability to translate complex concepts to non-technical audiences

Required Skills

AI Ethics Algorithmic Bias Machine Learning Governance Policy Analysis Fairness Metrics Autonomous Systems Responsible AI

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