Image Annotation
Shape based image object labelling on Remoter.me
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AI Training & Model Feedback Specialist (Freelance). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Toloka. Education includes Secondary Education, Sukkur/Ghotki Board (2022) and Bachelor of Science, Iqra University Karachi (2023). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF and Polygon.
Shape based image object labelling on Remoter.me
As an AI Training & Model Feedback Specialist, I evaluated and ranked AI-generated text outputs for decentralized AI systems. I provided detailed human feedback to optimize response logic and accuracy using RLHF methodologies. My work included adversarial prompting and technical evaluation for early-stage Web3 and crypto AI models. • Evaluated and rated AI model text outputs for accuracy and consistency. • Authored over 500 reasoning paragraphs explaining ranking decisions. • Crafted edge case prompts to test boundaries of crypto-specific models. • Identified logical and technical flaws in decentralized AI (DApp) responses.
As a Micro-Task Annotator, I performed shape-based object annotation using polygon and bounding box techniques on image datasets. My responsibilities included maintaining high accuracy on annotation micro-tasks within the Toloka and Clickworker platforms. I also summarized video datasets and ranked search results for relevance and authority. • Completed polygon and bounding box annotations with 98% accuracy. • Worked extensively on micro-tasks involving web search relevance labeling. • Summarized videos for objective inclusion in AI training datasets. • Consistently achieved top accuracy scores on UHRS annotation tasks.
Secondary Education, Science
English Course, English Language
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