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Appen
Data Annotation Tech
Labelbox
Label Studio
Remotasks
CVAT
ProdigyNo subject matter listed
Audio
Computer Code Programming
Document
Geospatial Tiled Imagery
Image
Medical Dicom
Text
Video
Entity (NER) Classification
Evaluation/Rating
Prompt + Response Writing (SFT)I am a detail-oriented professional with a strong background in document review, data analysis, and compliance within deadline-driven environments. My experience as a paralegal and escrow officer has equipped me with advanced skills in reviewing, annotating, and verifying large volumes of data and legal documents for accuracy and consistency, which directly translates to high-quality data labeling and annotation work. I am proficient in a variety of software platforms, including Microsoft Office Suite, and have a proven track record of quickly learning new systems and training others to follow precise guidelines. My ability to communicate effectively, maintain data integrity, and ensure compliance with complex requirements makes me well-suited for roles focused on AI training data, whether for natural language processing, document classification, or other annotation projects. I am committed to delivering reliable, high-quality results and continuously seeking ways to improve processes and outcomes.
AppenImageEntity (NER) ClassificationEvaluation/RatingImage labeling and object tagging for computer vision models, text classification and content labeling, reviewing and correcting, previously labeled data, categorizing images and text based on project guidelines, identifying edge cases and flagging unclear data, quality assurance tasks to improve overall data accuracy.
Label StudioText
RLHFDelivered 180k+ annotations across images, PDFs, and short text with a QA acceptance rate of 98.6%. Performed RLHF tasks, including prompt writing, ranking, and conversation grading. Collaborated with ML engineers to refine models and tasks. • Successfully setup Label Studio with custom templates. • Trained and calibrated 12 contractors with weekly sessions. • Created efficient workflows using Python and utility scripts. • Supported audits with gold-standard seed creations and reviews.
CVATImage
Object DetectionCreated high-quality annotations for retail product detection and road scene segmentation with 250-400 objects/hour throughput. Developed consensus labeling flows reducing disagreement rates by 41% and raised mAP by targeting ambiguous classes. Improved document layout quality with advanced labeling techniques. • Led polygon creation for invoices and receipts layout. • Built partnerships with ML engineers for model refinement. • Implemented systems for accurate class imbalance analysis. • Utilized custom hotkey layouts for efficient annotation.
ProdigyTextPerformed sentiment analysis and tagged topics for news and e-commerce projects. Developed personal macros and hotkey systems to enhance efficiency without compromising quality. Ensured smooth audit trails and clean metadata maintenance. • Maintained high accuracy and speed in all tasks. • Streamlined workflows for bulk edits and sanitation. • Focused on data integrity and transparency. • Established clear reproducibility standards for all outputs.
Signing Agent Certification, N/A
Associate's Degree, Paralegal Studies
Escrow Officer
Data Labeling
