Midland State University
Bachelor of Science, Data Science
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For over three years, I have expertly annotated and curated over 12,000 images, 500+ video sequences, and more than 20,000 text and audio entries, consistently achieving accuracy rates above 98%. My expertise spans multi-modal data annotation (image, text, video, audio) using a comprehensive suite of cutting-edge tools including Labelbox, CVAT, SuperAnnotate, Doccano, V7 Labs, Roboflow, TranscribeMe, and RevWorkbench. I possess deep domain knowledge in Healthcare & Medical AI, Autonomous Vehicles & Computer Vision, and NLP & Audio Data, with specialized skills in LLM training data preparation for writing tasks, text summarization, and prompt-response structuring. My work includes a strong attention to phonetic detail and accent variation, crucial for developing robust voice recognition and virtual assistant systems. I have collaborated with a diverse clientele, from innovative startups to leading Fortune 500 AI teams, to deliver high-quality, precise datasets that are essential for training and enhancing machine learning models. My proficiency extends to developing detailed annotation guidelines, leading QA processes, and managing remote teams to ensure consistent, standardized output. Certified in advanced labeling techniques and data ethics, I am recognized for rapid onboarding, adaptability in fast-paced environments, and a proactive, results-driven approach that significantly boosts AI model performance while strictly adhering to data privacy and security standards.
Faith G. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Science, Data Science
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