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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Shape the ethical frontier of artificial intelligence at Nexus Future Labs. We're seeking an AI Ethics Research Lead to architect responsible frameworks for next-generation autonomous systems. Join our interdisciplinary team of visionaries redefining human-AI collaboration in the 2026 digital landscape.

Your Impact: Lead cross-functional initiatives to develop auditable AI governance protocols, pioneer bias mitigation algorithms, and establish industry standards for transparent machine learning operations. Work directly with policymakers, academic institutions, and Fortune 500 partners to embed ethical safeguards into AI deployments.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Lead bias auditing initiatives across machine learning pipelines
  • Develop explainability algorithms for high-stakes AI decision-making
  • Collaborate with legal teams to ensure regulatory compliance (EU AI Act, NIST frameworks)
  • Author white papers and industry standards for ethical AI deployment
  • Mentor junior researchers in responsible AI methodologies
  • Partner with product teams to integrate ethics-by-design principles

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI research experience
  • Expertise in fairness, accountability, and transparency (FAT) algorithms
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST RMF)
  • Proven track record publishing in top-tier AI ethics journals/conferences
  • Experience with adversarial testing of autonomous systems
  • Strong background in applied ethics with technical implementation skills
  • Ability to translate complex ethical concepts into engineering requirements

Required Skills

AI Ethics Machine Learning Governance Explainable AI Regulatory Compliance Algorithmic Auditing Cross-functional Leadership

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