Coffee - Multimango Calibration Guidelines
Review an image and provide a detailed description of that image. Record audio of you reading that description.
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I have over 1 year of experience in AI data labeling and training data creation, contributing to projects with Outlier AI, Telus Digital, and CrowdGen AI. My work has involved labeling and annotating text, images, audio, and video datasets with a high degree of accuracy and consistency. I specialize in following detailed annotation guidelines, ensuring quality control, and meeting project deadlines in fast-paced environments. Through these projects, I have gained expertise with leading annotation platforms such as Labelbox, CVAT, Doccano, and Label Studio, as well as custom in-house tools. My ability to adapt to diverse data types—ranging from computer vision tasks (object detection, segmentation) to natural language processing (NER, classification)—sets me apart as a versatile and reliable contributor in AI training data workflows.
Review an image and provide a detailed description of that image. Record audio of you reading that description.
Contributed to a large-scale AI training project focused on mathematical problem annotation and solution validation. Tasks included labeling math word problems, verifying step-by-step solutions, categorizing equations, and ensuring logical accuracy for machine learning models. The project required strong attention to detail, consistency in applying annotation guidelines, and the ability to handle complex problem-solving workflows. By delivering high-quality labeled data, I helped improve AI models designed for math reasoning, tutoring systems, and automated problem solvers.
Bachelor Of Technology, Computer Science And Engineering
Machine Learning Intern