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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

Nexus Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. As our AI Ethics Specialist, you'll shape the future of ethical technology by embedding fairness, transparency, and accountability into cutting-edge AI systems. This pivotal role bridges technology and humanity, ensuring our innovations align with societal values while driving business excellence.

We offer a dynamic environment where your expertise will directly impact how AI serves humanity. Enjoy competitive compensation, comprehensive benefits, and the opportunity to collaborate with industry pioneers dedicated to creating a tech-positive future.

Responsibilities

  • Develop and implement ethical AI frameworks aligned with global standards (IEEE, EU AI Act)
  • Conduct bias audits and risk assessments for machine learning models
  • Collaborate with engineering teams to embed ethical safeguards in AI pipelines
  • Lead stakeholder workshops to define ethical boundaries for AI applications
  • Monitor emerging AI regulations and adapt compliance strategies proactively
  • Author whitepapers and guidelines on responsible AI deployment
  • Train cross-functional teams on ethical AI principles and best practices

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, or related field (PhD preferred)
  • 3+ years of experience in AI ethics, governance, or responsible tech
  • Expertise in bias mitigation techniques for ML models and datasets
  • Deep understanding of global AI regulatory landscapes (GDPR, CCPA, etc.)
  • Exceptional written communication skills for policy documentation
  • Experience with stakeholder engagement across technical and non-technical audiences
  • Proficiency in Python and ML libraries for bias analysis
  • Published research or practical implementations in AI ethics

Required Skills

AI Ethics Machine Learning Data Privacy Governance Regulatory Compliance Stakeholder Communication Research Policy Development

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