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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Scientist

Nexus Future Labs
Austin
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we shape the responsible technology landscape of 2026. We're seeking an AI Ethics Research Scientist to pioneer frameworks ensuring artificial intelligence aligns with human values in an increasingly automated world. This role combines cutting-edge research with practical implementation, working directly with product teams to embed ethical safeguards into AI systems before they scale.

Our Austin-based innovation hub offers collaborative spaces, state-of-the-art labs, and a culture dedicated to solving humanity's most pressing technological challenges. You'll lead cross-functional initiatives while publishing groundbreaking research that will define the next generation of AI governance.

Responsibilities

  • Design and implement ethical risk assessment frameworks for AI systems
  • Conduct adversarial testing to identify bias and fairness vulnerabilities
  • Develop industry-leading AI transparency protocols and explainability methods
  • Partner with engineering teams to integrate ethical safeguards into production pipelines
  • Lead stakeholder workshops on responsible AI deployment strategies
  • Author white papers and contribute to international AI policy discussions
  • Mentor junior researchers in emerging ethical AI methodologies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field (or equivalent experience)
  • 3+ years researching AI ethics, bias mitigation, or algorithmic fairness
  • Published work in top-tier AI ethics or machine learning conferences
  • Proficiency with Python and ML frameworks (PyTorch/TensorFlow)
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience conducting ethical audits of deployed AI systems
  • Exceptional communication skills for translating technical concepts to diverse audiences
  • Portfolio demonstrating real-world AI ethics implementations

Required Skills

AI Ethics Machine Learning Research Algorithmic Bias AI Governance Python Stakeholder Communication Risk Assessment

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