Raisa Y.

Key Skills

Software

Other

Top Subject Matter

Computer vision dataset preparation and segmentation mask annotation

LLM/prompt workflow evaluation and ML dataset preparation (data operations)

Data Quality Assurance and AI Model Evaluation

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

Freelancer Overview

AI Data Operations and Data Annotation professional with experience in image annotation, segmentation masks, dataset structuring, prompt workflow evaluation, and quality assurance for machine learning projects. Skilled in preparing clean, structured datasets, reviewing model outputs, improving annotation workflows, and using Python automation for file handling and preprocessing. Experienced with image, text, document, and AI training tasks.

Labeling Experience

AI Data Operations at Rare Sense Inc. (Remote)

Other

Structured and prepared 20+ datasets to increase data readiness for machine learning workflows. Built and refined prompt workflows to improve model output quality across testing iterations and evaluated resulting performance gaps. Led quality assurance for dataset integrity and output correctness by tracking recurring errors. • Designed and structured 20+ datasets for ML model workflow readiness • Developed prompt workflows to improve output quality across test iterations • Performed dataset and output quality assurance to identify recurring errors • Automated preprocessing and file-handling workflows in Python, saving 7–8 hours/week

2025 - Present

Data Annotator Intern at Rare Sense Inc. (Remote)

OtherImageSegmentation

Performed large-scale image annotation work according to specific visual, cropping, and formatting requirements for model-ready datasets. Annotated images and produced masks for a subset of the dataset to improve training quality. Used automation to organize and preprocess annotation artifacts for consistency and throughput. • Labeled and processed 15,000+ images based on provided visual/cropping/format rules • Created masks for 5,000+ images to improve segmentation dataset quality • Automated file organization, renaming, and preprocessing via Python scripts • Built simple Gradio interfaces to streamline annotation and dataset handling workflows

2025 - 2025

Education

Work History