Nina Grunen

Key Skills

Software

CVAT

Label Studio

Top Subject Matter

General Computer Vision

Natural Language Processing

Document Understanding

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Entity Ner Classification

Classification

Polygon

Segmentation

Object Detection

Data Collection

Question Answering

Cuboid

Polyline

Freelancer Overview

Data Annotator / Data Verifier (Image & Video Annotation). Brings 1+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include CVAT, Label Studio, and Google Sheets. Education includes Bachelor of Science, National Research University "Moscow Power Engineering Institute" (2012). AI-training focus includes data types such as Image, Text, and Document and labeling workflows including Bounding Box, Entity (NER) Classification, and Classification.

Labeling Experience

Data Annotator / Data Verifier (Text Annotation)

Label StudioTextEntity Ner Classification

I performed text annotation tasks including Named Entity Recognition (NER), Optical Character Recognition (OCR), and text classification using Label Studio. I carefully followed guidelines to label entities and validate extracted text from documents. I focused on quality checks and consistent annotation for use in AI models. • Labeled named entities in text for NLP tasks • Verified results of OCR extraction from scanned documents • Classified text data according to predefined categories • Regularly participated in QA reviews using Label Studio

I performed text annotation tasks including Named Entity Recognition (NER), Optical Character Recognition (OCR), and text classification using Label Studio. I carefully followed guidelines to label entities and validate extracted text from documents. I focused on quality checks and consistent annotation for use in AI models. • Labeled named entities in text for NLP tasks • Verified results of OCR extraction from scanned documents • Classified text data according to predefined categories • Regularly participated in QA reviews using Label Studio

Present

Data Annotator / Data Verifier (Image & Video Annotation)

CVATImageBounding Box

I annotated images and videos using bounding boxes, segmentation, classification, and object tracking in CVAT. My work involved following detailed annotation guidelines and maintaining consistency in ambiguous scenarios. I ensured high-quality labeled data ready for AI model training and validation. • Labeled objects in images and videos with bounding boxes and segmentation masks • Applied object tracking across video frames for improved dataset quality • Ensured adherence to project-specific requirements and QA procedures • Used CVAT and Label Studio to manage tasks and data outputs

I annotated images and videos using bounding boxes, segmentation, classification, and object tracking in CVAT. My work involved following detailed annotation guidelines and maintaining consistency in ambiguous scenarios. I ensured high-quality labeled data ready for AI model training and validation. • Labeled objects in images and videos with bounding boxes and segmentation masks • Applied object tracking across video frames for improved dataset quality • Ensured adherence to project-specific requirements and QA procedures • Used CVAT and Label Studio to manage tasks and data outputs

Present

Data Annotator (Contract Project – Document Verification)

DocumentClassification

I verified and corrected company information using official registries in a contract annotation project. My role included validating revenue and identifying inconsistencies in document-based data. I conducted careful quality checks and provided comments to justify annotation corrections. • Reviewed and processed approximately 1000 company records • Investigated discrepancies and annotated key data points • Justified corrections with detailed comments for auditability • Contributed to improving accuracy of company databases

I verified and corrected company information using official registries in a contract annotation project. My role included validating revenue and identifying inconsistencies in document-based data. I conducted careful quality checks and provided comments to justify annotation corrections. • Reviewed and processed approximately 1000 company records • Investigated discrepancies and annotated key data points • Justified corrections with detailed comments for auditability • Contributed to improving accuracy of company databases

Not specified

Education

Work History