AI Training Data Specialist at Outliers
Created structured datasets for model training and validation, ensuring data precision and scalability for AI development. Utilized Python to engineer and test data pipelines that supported the improvement and refinement of machine learning models. Contributed significantly to quality assurance processes to increase the reliability and accuracy of analytical outputs. • Built datasets through careful annotation for use in AI model training workflows • Ensured alignment of data curation and labeling with model development requirements • Conducted validation and evaluation of dataset integrity for reproducibility • Enhanced analytical outputs by applying quality control in labeling phases