Principal AI Scientist, Skills & Assessment
Tasks
- Coordinate multidisciplinary experts for algorithm and workflow design
- Define and monitor scientific KPIs in production
- Detect drift and bias indicators
- Ensure responsible AI guardrails for learning and assessment
- Ensure scientific intent preserved in production implementations
- Establish evaluation frameworks and lifecycle practices
- Lead validation studies for reliability validity fairness
- Own scientific roadmap for AI learning and assessment
- Provide thought leadership and research for strategy
- Translate applied research into production AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
Adaptive testing | Artificial Intelligence | Automated Content Generation | Automated content | Bias detection | Content Generation | Data Science | Drift Detection | Educational measurement | Evaluation Frameworks | Explainable AI | Fairness | Foundation Models | Language Models | Large Language Models | Machine Learning | Measurement theory | Monitoring and governance | Psychometrics | Reliability analysis | Responsible AI | Statistical modeling | Validation methodology
Education
Roles
AI | AI Scientist | Principal | Principal AI Scientist | Scientist
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