Data Labeling
Annotating, transcribing, and categorizing audio recordings to create structured, machine-readable datasets for training AI model
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I have experience as an AI Training Data Specialist, focusing on high-accuracy data annotation, text evaluation, and prompt engineering to improve Large Language Models (LLMs). My work involved evaluating AI-generated responses for safety, accuracy, and tone, while also providing complex reasoning to help models learn from human feedback. I am proficient in navigating various annotation tools and following strict guidelines to ensure consistent quality in both text classification and structured data labeling. My ability to quickly adapt to new project guidelines and my sharp attention to detail sets me apart. I am a self-motivated professional who thrives in remote, fast-paced environments, ensuring that AI systems become more reliable and helpful.
Annotating, transcribing, and categorizing audio recordings to create structured, machine-readable datasets for training AI model
A computer vision task focused on identifying and locating objects in images by assigning class labels and drawing bounding boxes around them also included counting as well.
A computer vision task focused on identifying and locating objects in moving images (video streams) by assigning class labels and drawing bounding boxes around them
A computer vision data annotation process where I drew around specific objects within an image to label their location and class.
High School Diploma, Medical Studies
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