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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

Nexus AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of responsible innovation as we pioneer ethical AI frameworks for 2026 and beyond. We seek an AI Ethics Specialist to shape the future of machine learning governance while ensuring our technologies align with global human rights standards. This hybrid role combines technical expertise with philosophical rigor to build transparent, accountable, and equitable AI systems.

As a key member of our Ethics & Compliance division, you'll collaborate with cross-functional teams to develop auditable bias mitigation protocols, conduct algorithmic impact assessments, and establish industry-leading ethical standards. You'll lead initiatives that translate complex ethical principles into actionable engineering practices while representing our values at international tech summits.

Responsibilities

  • Design and implement bias detection/audit protocols for ML models using fairness metrics
  • Develop ethical risk assessment frameworks for autonomous systems and generative AI
  • Create stakeholder engagement strategies for diverse communities affected by AI deployments
  • Lead cross-functional ethics reviews for new AI product launches
  • Establish transparent documentation standards for algorithmic decision-making
  • Advocate for ethical AI principles in industry standards bodies and policy discussions
  • Train engineering teams on responsible AI development practices

Qualifications

  • Master's degree in Computer Science, Philosophy, Ethics, or related field (PhD preferred)
  • 3+ years experience in AI ethics, algorithmic governance, or responsible AI initiatives
  • Proficiency with fairness toolkits (e.g., IBM AI Fairness 360, Google What-If Tool)
  • Strong understanding of global AI regulations (EU AI Act, NIST RMF, etc.)
  • Experience conducting ethical impact assessments for high-stakes AI systems
  • Expertise in bias mitigation techniques across ML pipelines
  • Exceptional communication skills for technical and non-technical audiences
  • Published research in AI ethics or related field highly desirable

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Algorithmic Auditing Fairness Metrics Policy Development Stakeholder Engagement Risk Assessment

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