Aether Project
Data annotation for image, videos and audio translation.
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Worked on multiple data annotation projects focused on improving machine learning model performance. Labeled and reviewed datasets across text and image domains, ensuring high accuracy and consistency based on detailed guidelines. Performed quality checks, resolved ambiguities, and maintained annotation standards to support supervised learning tasks. Collaborated with distributed teams to meet deadlines and improve dataset reliability. Gained strong exposure to data preprocessing, edge-case handling, and model training requirements. Developed attention to detail and the ability to interpret complex instructions efficiently, contributing to the creation of high-quality training data for AI systems.
Data annotation for image, videos and audio translation.
We were given code outputs that we had to review and correct if there were any errors with the generated text or code snippet.
High School Diploma, Science (Class XII)
Secondary School Certificate, General Studies (Class X)
Software Engineer