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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

NeuraFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join NeuraFuture Labs at the forefront of responsible AI innovation. We're seeking an AI Ethics Specialist to shape the ethical frameworks for our 2026 product roadmap. This role bridges cutting-edge AI development with human-centered design, ensuring our technologies align with societal values and regulatory standards. Work with world-class researchers to build transparent, accountable, and equitable AI systems that will define the next decade of technology.

Responsibilities

  • Develop and implement ethical AI governance frameworks for autonomous systems and machine learning models
  • Conduct bias audits and risk assessments for high-impact AI deployments
  • Collaborate with engineering teams to embed ethical safeguards into product development lifecycle
  • Create stakeholder engagement protocols for ethical AI transparency initiatives
  • Lead cross-functional ethics committees and establish industry best practices
  • Monitor evolving AI regulations (e.g., EU AI Act, NIST frameworks) and ensure compliance
  • Design user-centric explainability methods for complex AI decision systems

Qualifications

  • Advanced degree in Philosophy, Computer Science, Ethics, or related field (PhD preferred)
  • 5+ years experience in AI ethics, responsible AI, or technology policy
  • Deep understanding of machine learning systems and algorithmic bias mitigation
  • Proven track record of developing ethical frameworks for real-world AI applications
  • Strong technical writing skills for creating ethics documentation and guidelines
  • Familiarity with global AI regulatory landscape and compliance requirements
  • Experience facilitating stakeholder dialogues on ethical technology adoption
  • Publication record in ethics/tech journals or conference presentations

Required Skills

AI Ethics Machine Learning Governance Risk Assessment Regulatory Compliance Bias Mitigation Stakeholder Engagement Explainable AI

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