Operations Associate
high-fidelity annotations (bounding boxes/segmentation) to train AI models in identifying structural anomalies, material wear, and equipment components.
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AI Data Annotator & Quality Specialist (Project: Global Search, Gen AI & ABYSS). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Encord, Internal, and Proprietary Tooling. Education includes Bachelor of Business Administration, Chandigarh University (2026) and Intermediate, Masters Junior College (2019). AI-training focus includes data types such as Image, Computer Code, and Programming and labeling workflows including Entity (NER) Classification and Segmentation.
high-fidelity annotations (bounding boxes/segmentation) to train AI models in identifying structural anomalies, material wear, and equipment components.
Served as an AI Data Annotator and Quality Specialist for Global Search, Gen AI & ABYSS, supporting high-precision data labeling and quality assurance. Evaluated and moderated merchant menu images and UberEats listings while enforcing a strict 99% accuracy target for content compliance. Verified dataset context using auxiliary tools to ensure relevance and consistency across labeled outputs. • Performed high-precision slot tagging, location-based tagging, and semantic labeling • Moderated merchant menu images and listings for compliance • Used ChatGPT and Google Maps for context verification • Applied translation software to maintain correct labeling context
Bachelor of Business Administration, Business Administration
Intermediate, Business Administration
Operations Associate
Team Lead