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AI Ethics Research Lead (2026 Initiative)

Nexus Innovations
Austin
Estimated Salary
USD 160.000 – USD 210.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development as we launch our groundbreaking 2026 Initiative. We seek an AI Ethics Research Lead to shape the future of artificial intelligence governance and ensure ethical deployment of transformative technologies. This role offers unparalleled opportunity to influence global standards while working with a diverse team of Nobel laureates, industry pioneers, and policy experts. Our Austin hub combines cutting-edge research with vibrant culture, offering competitive benefits including equity, unlimited PTO, and professional development stipends.

Responsibilities

  • Design and lead cross-functional ethics research frameworks for next-gen AI systems
  • Collaborate with product teams to integrate ethical safeguards into development lifecycles
  • Author policy white papers and regulatory recommendations for governmental bodies
  • Establish KPIs for algorithmic fairness and bias mitigation across 2026 Initiative projects
  • Present findings at global summits including OECD AI Policy Forums and World Economic Davos
  • Mentor ethics researchers through our proprietary 'Responsible Tech' fellowship program

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years applied AI ethics experience
  • Published research in top-tier journals (Nature, Science, or ACM) on algorithmic accountability
  • Proven track record advising Fortune 500 companies on AI governance frameworks
  • Expertise in developing bias detection tools for large language models
  • Experience working with international regulatory bodies (EU AI Act, NIST frameworks)
  • Strong programming proficiency in Python/R for ethics simulation modeling
  • Exceptional communication skills translating complex concepts for diverse stakeholders

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Algorithmic Fairness Policy Development Research Methodology Python R Cross-functional Leadership

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