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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

NeuroSynth Labs
San Francisco
Estimated Salary
USD 140.000 – USD 190.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join NeuroSynth Labs at the forefront of responsible AI innovation. As an AI Ethics Specialist, you'll shape the ethical frameworks guiding our next-generation autonomous systems. This role bridges cutting-edge technology with human-centric principles, ensuring our AI solutions advance society while safeguarding against bias and harm. Collaborate with cross-functional teams to embed ethical considerations throughout the AI lifecycle, from development to deployment. Work in a dynamic environment where your expertise directly influences how AI interacts with humanity.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with evolving regulatory standards
  • Conduct bias audits and risk assessments for machine learning models
  • Design ethical guidelines for autonomous system decision-making processes
  • Lead stakeholder consultations to incorporate diverse perspectives into AI design
  • Monitor emerging ethical challenges in AI deployment and propose mitigation strategies
  • Train engineering teams on responsible AI development practices
  • Author whitepapers on AI ethics for industry conferences and publications

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, or related field
  • 3+ years of experience in AI ethics, responsible AI, or compliance roles
  • Expertise in bias detection methodologies for machine learning systems
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Strong analytical skills for evaluating ethical implications of AI algorithms
  • Experience with stakeholder engagement and ethical decision-making processes
  • Published work or certification in AI ethics (e.g., IEEE Ethically Aligned Design)

Required Skills

AI Ethics Machine Learning Bias Mitigation Regulatory Compliance Stakeholder Engagement Algorithm Auditing Ethical Framework Design NIST AI Risk Management Framework

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