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In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions.
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Excellent knowledge of semantics, pragmatics, conversation analysis, and/or discourse analysis
- Experience designing and executing data collection projects, including guidelines, label set and annotation workflow development
- Experience developing and evaluating data annotation and data quality metrics
- Experience designing and executing psychology/linguistic/cognitive science surveys or experiments with human participants
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