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CVAT
Labelbox
Dataloop
V7 Labs
SuperAnnotate
Image
Document
Video
Segmentation
Bounding Box
Polygon
Classification
Point/Key Point
PolylineQA/QC - Data Annotation Quality. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Arts, Delhi University (2020). AI-training focus includes data types such as Image and labeling workflows including Evaluation, Rating, and Segmentation.
ImageServed as a QA/QC professional overseeing data annotation quality for high-precision outputs. Conducted reviews to verify that labeled data met predefined quality benchmarks. Identified process gaps and ensured compliance with annotation standards. • Performed quality checks on annotated records • Monitored consistency across labeling guidelines • Reported and helped remediate labeling defects • Ensured dataset accuracy for downstream use
ImageSegmentationWorked as an annotator applying machine learning and AI knowledge to labeling tasks. Produced image annotations including segmentation and bounding box style labels. Contributed to building structured datasets for AI use cases and model training. • Annotated images with segmentation and bounding boxes • Applied text labeling/NER and sentiment-oriented labeling when required • Supported object tracking and related label types • Followed job guidelines to ensure consistent dataset formatting
Bachelor of Arts, Arts
QA/QC Analyst
ML/AI Annotator
