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Labelbox
Scale AI
Remotasks
Label Studio
Image
Text
Video
Entity (NER) Classification
Object Detection
Text Generation
Question Answering
Transcription
Bounding Box
Evaluation/Rating
Prompt + Response Writing (SFT)I have been able to work with both structured and unstructured data, taking care of their consistency and correctness. I am acquainted with data classification, validation, and annotation techniques essential for constructing trustworthy datasets for AI training. I am adept at being meticulous and paying close attention to detail, which helps me clean data and adhere to exact labeling guidelines effectively.
AudioTranscriptionLabeling transcribing and marking tones for customer service calls, which included tagging of speakers intents and tones, provided data used to train and evaluate speech recognition algorithms and conversational artificial intelligence programs
TextEntity (NER) ClassificationTagged structured and unstructured text files with named entities such as names, places, organizations, dates, and money amounts to facilitate creation of NLP training data sets useful for contract review and analysis of financial documents
ImageObject DetectionBounding boxes annotation and polygon segmentation for objects such as vehicles, pedestrians, traffic signs, and road elements in street scene imagery were conducted with great emphasis on accuracy for machine learning models.
TextEntity (NER) ClassificationClassified large amounts of feedback from customers and social media texts based on sentiments (negative, positive, neutral). Conducted the classification using annotation guidelines in order to ensure accuracy and consistency. The purpose was to build a sentiment analysis model.
Bachelor's Degree, Mechanical Engineering
AI Architect
