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AI Ethics Research Lead - 2026 Visionary Program

Nexus Futuristics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Futuristics at the forefront of ethical AI development for our groundbreaking 2026 Visionary Program. We're seeking an AI Ethics Research Lead to shape responsible AI frameworks that will define the next decade of technological advancement. This role combines cutting-edge research with strategic implementation to ensure AI systems align with human values and societal needs. Collaborate with cross-functional teams to design audit protocols, bias mitigation strategies, and transparency frameworks that set industry standards.

Our ideal candidate thrives at the intersection of technology and philosophy, with a passion for democratizing AI innovation while safeguarding against unintended consequences. You'll influence policy development, lead ethical impact assessments, and mentor researchers in creating AI solutions that empower humanity.

Responsibilities

  • Design and implement ethical governance frameworks for AI systems deployed in high-impact domains
  • Lead bias audits and fairness assessments across machine learning pipelines
  • Develop transparent explainability protocols for complex neural networks
  • Collaborate with policymakers to shape AI regulatory standards for 2026+ deployments
  • Mentor cross-functional teams on ethical AI implementation best practices
  • Author white papers on emerging ethical challenges in generative AI and autonomous systems
  • Establish KPIs for measuring AI system alignment with human values

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years in AI ethics
  • Published research on algorithmic bias mitigation or explainable AI
  • Experience working with Fortune 500 companies on AI governance frameworks
  • Expertise in regulatory landscapes (EU AI Act, NIST AI RMF, etc.)
  • Proficiency in Python/R for bias detection tool development
  • Proven track record of influencing industry ethical standards
  • Strong background in stakeholder engagement across technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Explainable AI Bias Mitigation Regulatory Compliance Policy Development Stakeholder Engagement Algorithmic Transparency

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