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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
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we shape the responsible technology landscape for 2026. We're seeking visionary AI Ethics Research Leaders to design frameworks that balance innovation with human values. You'll collaborate with cross-functional teams to audit algorithms, develop bias mitigation strategies, and pioneer transparent AI governance protocols. This role offers unparalleled opportunities to influence industry standards while working with cutting-edge quantum-assisted machine learning systems in our state-of-the-art Austin facility.

Responsibilities

  • Lead development of ethical AI frameworks for autonomous systems and quantum computing applications
  • Conduct bias audits and fairness assessments across algorithmic decision-making pipelines
  • Design transparency protocols for explainable AI (XAI) implementations
  • Collaborate with engineering teams to embed ethical safeguards into product lifecycles
  • Author industry guidelines for responsible AI deployment in regulated sectors
  • Mentor junior researchers on ethical technology principles
  • Present findings at international AI ethics symposiums and regulatory hearings

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field with 5+ years AI ethics experience
  • Published research on algorithmic bias mitigation or fairness in ML systems
  • Expertise in regulatory frameworks (EU AI Act, NIST RMF, ISO/IEC 42001)
  • Proficiency with Python and ML libraries for bias analysis
  • Experience with quantum computing ethics considerations
  • Strong background in cross-functional stakeholder management
  • Demonstrated history of translating complex ethical concepts into technical requirements

Required Skills

AI Ethics Machine Learning Quantum Computing Regulatory Compliance Algorithmic Auditing Explainable AI Python NIST Frameworks

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