Machine Learning Engineer Trainee (Data Annotation Focus)
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As a Machine Learning Engineer Trainee, I contributed to data annotation and labeling workflows for supervised learning projects. Responsibilities included labeling output data, validating model predictions, and improving data quality for ML pipelines. The experience took place in a structured training environment with hands-on practice.
• Labeled and validated structured datasets for model training.
• Practiced annotation-adjacent workflows and data quality control.
• Utilized Python-based pipelines for data preprocessing.
• Collaborated with a team to simulate real AI production environments.
As a Machine Learning Engineer Trainee, I contributed to data annotation and labeling workflows for supervised learning projects. Responsibilities included labeling output data, validating model predictions, and improving data quality for ML pipelines. The experience took place in a structured training environment with hands-on practice. • Labeled and validated structured datasets for model training. • Practiced annotation-adjacent workflows and data quality control. • Utilized Python-based pipelines for data preprocessing. • Collaborated with a team to simulate real AI production environments.
2025 - Present