QA Expert
Quality assurance Multi-stage workflow review for primary annotation, spot check or full review per sampling plan.
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I am an experienced data annotator and evaluator with a strong background in AI training data, research, and academic writing. My work at Mindrift involved comparing AI responses for safety, helpfulness, and factual accuracy, providing feedback to annotators, and evaluating search engine results to enhance algorithms and recommendation systems. I have also reviewed e-commerce product categorizations to ensure data accuracy. As a freelancer, I have consistently delivered high-quality transcription and content writing services, maintaining a 5-star rating and a 95% job success score. My academic experience in physics and geophysics has honed my analytical and research skills, while my proficiency with Microsoft Office and keen attention to detail enable me to deliver precise and reliable data labeling results. I am passionate about leveraging technology to improve outcomes and am eager to contribute my expertise to innovative AI projects.
Quality assurance Multi-stage workflow review for primary annotation, spot check or full review per sampling plan.
Data Handling - Labeling Side. I ingest and validate provided files in image formats like Jpg and png, metadata came raid, timestamps. i applied labeling to the agreed dataset split strategy provided. I detect corrupted files, flag duplicates, and report anomalies. Data Annotation Work: I drew tight bounding boxes around objects such as Car, Truck, Bus, motorcycle, bicycle including pedestrian then, i captured the required output per box applicable. I followed class definition and edge case rule when labeling.
Master of Science, Geophysics
Bachelor of Science, Physics
Freelance Writer
Research Assistant