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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 150.000 – USD 200.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we shape the technological landscape of 2026. We're seeking an AI Ethics Research Lead to define responsible AI frameworks that will govern tomorrow's autonomous systems. You'll work directly with our CTO and ML architects to embed ethical guardrails into cutting-edge AI models while publishing industry-defining research.

This hybrid role offers the rare opportunity to influence the ethical foundations of emerging technologies before they become mainstream. If you're passionate about ensuring AI serves humanity's best interests, this is your moment to make history.

Responsibilities

  • Develop and implement ethical AI frameworks aligned with 2026 regulatory requirements
  • Lead cross-functional teams in auditing AI systems for bias, fairness, and transparency
  • Conduct original research on emerging ethical challenges in autonomous systems
  • Collaborate with policymakers to shape AI governance standards
  • Author white papers and present findings at global tech conferences
  • Mentor junior researchers in responsible AI methodologies
  • Partner with product teams to integrate ethical safeguards into production systems

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics research or governance roles
  • Published work in top-tier ethics/ML conferences (NeurIPS, FAccT, etc.)
  • Expertise in bias mitigation techniques for deep learning systems
  • Experience working with regulatory bodies on AI policy development
  • Strong background in applied philosophy or moral theory
  • Proficiency in Python and statistical analysis tools

Required Skills

AI ethics machine learning bias mitigation policy development research methodology governance frameworks philosophical ethics statistical analysis

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