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Appen
Clickworker
CloudFactory
CrowdSource
CVAT
Dataloop
HiveMind
iMerit
Labelbox
Mercor
Lionbridge
Toloka
Telus
Text
Video
Image
Entity (NER) Classification
Polygon
Bounding Box
Segmentation
Classification
Point/Key Point
Polyline
Cuboid
Text Generation
Object Detection
Transcription
Question Answering
Text Summarization
Evaluation/Rating
Data CollectionI am a detail-oriented Data Labeling and AI Training Specialist with experience creating accurate, high quality datasets that help improve artificial intelligence and machine learning models. Through my work, I have developed strong skills in data annotation, classification, categorization, validation, and quality assurance while consistently following detailed guidelines and maintaining high accuracy. I enjoy work that requires focus, precision, and critical thinking. I take pride in producing reliable results, meeting deadlines, and quickly adapting to new tools and project requirements. My background in customer service, project coordination, and administration has also strengthened my communication, problem-solving, and organizational skills, enabling me to work effectively both independently and as part of a team. I am committed to delivering high-quality training data that supports the development of accurate, reliable, and responsible AI systems while continuously learning and improving my skills in the field.
VideoEntity (NER) ClassificationLabeled and reviewed text data to support AI language models. Applied annotation guidelines to ensure consistency, identified data quality issues, and contributed to the creation of high-quality datasets for model training and evaluation.
ImageSegmentationPrepared and annotated datasets for AI applications by accurately labeling and validating data according to project specifications. Ensured data integrity, maintained annotation consistency, and supported the development of reliable AI models
TextText GenerationAnnotated and validated training datasets for machine learning models by following detailed project guidelines. Performed quality checks, corrected labeling inconsistencies, and maintained high accuracy while meeting productivity and turnaround time targets
CloudFactory Data Annotation, Data Annotation
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