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Appen
Data Annotation TechNo subject matter listed
Audio
Computer Code Programming
TextI have over a year of hands-on experience in data annotation, I have worked on diverse projects involving multiple data types, including: Audio input, transcribing, labeling, and categorizing speech data for machine learning models. Text interpretation, annotating and structuring textual data for NLP tasks, sentiment analysis, and intent classification. Fine-tuning AI Responses, improving model accuracy by refining datasets and ensuring high-quality outputs. Image labeling, classifying and tagging images for computer vision applications, including object detection and localization. Localization, adapting datasets for region-specific contexts to enhance model relevance. I have contributed to projects from various sources, including personal initiatives, demonstrating strong attention to detail and a commitment to delivering precise, structured annotations for AI training.
Classification, Summary, Response and evaluation of several models in order to explore possible vulnerabilities, exploits or biases that would harm the performance of the LLM being trained.
The main task is to classify images both created by AI and other image data that has not yet been labaled, indicating subtleties and possible complications in the categorization of each image.
N/A, Analysis and Systems Development
Data Analyst
Data Scientist
