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iMeritTelusNo subject matter listed
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VideoI am an experienced data annotation and AI training data specialist with a background in finance, banking, and advanced AI projects. My work spans high-precision labeling and quality assurance for text, audio, and image datasets, with a focus on optimizing machine learning models for natural language processing, computer vision, and financial domains. I have led data enrichment initiatives on projects like Project Nidra, applying expert-in-the-loop feedback, RLHF, DPO, and chain-of-thought reasoning to improve generative AI reliability and reduce hallucinations. My experience includes complex entity recognition, sentiment analysis, intent classification, and rigorous QA, consistently maintaining 98–99% accuracy. I am skilled at collaborating with engineers and data scientists to translate domain-specific requirements into actionable annotation guidelines, and I bring a strong commitment to ethical data handling, compliance, and operational excellence.
Project NIDRA involves image classification. Two Gen AI images comparison to determine which is worse and point out the issue.
Project Diamond, managed by RWS Group, is an AI data annotation initiative focused on training and refining AI models. Tasks include pairwise comparisons and object tagging, generally paying around $8/hour. It requires strict adherence to guidelines, with some users reporting, according to this Reddit post, challenges with communication, payment, and work order tracking.
Project Sonic by TELUS Digital is a remote, contract-based AI data annotation project focused on training generative AI models, often involving video or audio evaluation and labeling. Utilizing platforms like MultiMango and FTS Studio (Fine-Tune Studio), users perform tasks such as video annotation, audio transcription, and creating prompt-response pairs to improve AI, with work often described as flexible but requiring careful attention to instructions.
Certificate in Entrepreneurship, Entrepreneurship
Certificate in Leadership, Leadership
Cashier and Front Office Attendant
Finance and Banking Intern
