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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Researcher

Nexus AI Solutions
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus AI Solutions at the forefront of ethical AI development as we shape responsible innovation for 2026. We're seeking visionary AI Ethics Researchers to design governance frameworks that align cutting-edge AI with human values. This pivotal role combines technical expertise with philosophical rigor to ensure our autonomous systems advance society ethically.

Our team operates at the intersection of technology and humanity, partnering with Fortune 500 companies to develop auditable, transparent AI systems. You'll collaborate with world-class engineers, policymakers, and social scientists to pioneer ethical standards that will define the next decade of AI deployment.

Responsibilities

  • Design and implement ethical frameworks for autonomous decision-making systems
  • Conduct bias audits of machine learning models using statistical fairness metrics
  • Develop stakeholder engagement protocols for AI impact assessments
  • Author corporate governance policies for responsible AI deployment
  • Lead cross-functional workshops on ethical AI implementation
  • Research emerging regulatory landscapes and compliance requirements
  • Contribute to academic publications on AI ethics and societal impact

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field (or equivalent experience)
  • Expertise in algorithmic bias mitigation and fairness metrics
  • Proficiency with Python, TensorFlow, or PyTorch for model analysis
  • Strong background in applied ethics or moral philosophy
  • Experience with regulatory frameworks (GDPR, EU AI Act, NIST AI RMF)
  • Published research in AI ethics or responsible technology
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Bias Mitigation Policy Development Governance Frameworks Statistical Analysis Stakeholder Engagement Regulatory Compliance

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