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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Researcher (2026 Vision)

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

Job Description

Join Nexus Future Labs at the forefront of shaping AI's ethical trajectory for 2026. We're pioneering research at the intersection of artificial intelligence and human values, developing frameworks that ensure emerging technologies align with societal well-being. This role offers unparalleled opportunity to influence global AI governance while working with world-class ethicists, engineers, and policymakers in our Austin innovation hub.

Our multidisciplinary team tackles complex challenges like algorithmic bias mitigation, autonomous system accountability, and sustainable AI development. You'll contribute to groundbreaking projects that will define responsible AI standards for the next decade.

Responsibilities

  • Lead cross-functional research initiatives on AI ethics frameworks for 2026 applications
  • Develop and implement bias detection protocols for generative AI systems
  • Collaborate with engineers to embed ethical safeguards in ML pipelines
  • Author white papers and policy recommendations for international AI governance bodies
  • Design human-centered evaluation metrics for autonomous decision systems
  • Present findings at global conferences and industry summits
  • Mentor junior researchers through our ethics fellowship program

Qualifications

  • PhD in Philosophy, Computer Science, Ethics, or related field (or equivalent experience)
  • 3+ years researching AI ethics or responsible AI implementation
  • Expertise in bias/fairness assessment techniques and mitigation strategies
  • Strong publication record in top-tier ethics/ML conferences
  • Proficiency in Python and statistical analysis tools
  • Experience with regulatory frameworks (EU AI Act, NIST RMF)
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Algorithmic Fairness Policy Development Research Methodology Python Statistical Analysis Governance Frameworks

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