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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

NeuroSync Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NeuroSync Technologies at the forefront of ethical AI development as we pioneer responsible AI systems for 2026 and beyond. As our AI Ethics Research Lead, you'll architect frameworks ensuring our autonomous systems align with human values while driving innovation. Collaborate with world-class engineers, policymakers, and ethicists to shape industry standards that define tomorrow's technological landscape.

We offer competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art Innovation Lab. Be part of a mission-driven team committed to democratizing AI benefits while mitigating societal risks.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous systems
  • Lead cross-functional audits of AI models for bias, transparency, and accountability
  • Develop predictive risk assessment methodologies for emerging AI capabilities
  • Partner with legal teams to ensure compliance with evolving AI regulations
  • Author white papers on ethical AI principles for industry conferences
  • Mentor junior researchers in ethics methodologies and responsible innovation
  • Establish stakeholder engagement protocols for community impact assessments

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Proven track record in developing AI bias mitigation frameworks
  • Expertise in regulatory compliance for autonomous systems (US/EU)
  • Published research in peer-reviewed AI ethics journals
  • Strong background in machine learning model interpretability techniques
  • Experience with participatory design methodologies for ethical tech
  • Certification in responsible AI governance frameworks (e.g., IEEE 7000)

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Autonomous Systems Risk Assessment Participatory Design Policy Development

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