Semion A.

Key Skills

Software

Labelbox

Other

CVAT

Top Subject Matter

Computer vision dataset annotation (branding/marketing visuals and product/scene imagery)

NLP dataset annotation and text categorization

Computer vision segmentation annotation (visual data labeling)

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Entity (NER) Classification

Segmentation

Classification

Freelancer Overview

Freelance AI Data Annotator / Visual Data Specialist. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Other, and CVAT. Education includes Bachelor of Business Administration, Maseno University (2021). AI-training focus includes data types such as Image, Text, and Document and labeling workflows including Bounding Box, Entity (NER) Classification, and Segmentation.

Labeling Experience

Freelance AI Data Annotator / Visual Data Specialist

CVATImageSegmentation

Applied segmentation-style annotation techniques for visual training data requiring more precise region delineation. Used structured annotation workflows to improve accuracy of labeled regions used by ML models. Conducted labeling validation by reviewing and correcting errors to maintain dataset quality. • Added segmentation/region annotations as part of visual dataset preparation • Used structured annotation techniques to improve label accuracy • Reviewed and corrected annotation discrepancies for data integrity • Prepared clean structured outputs usable by AI training pipelines

2024 - Present

Freelance AI Data Annotator / Visual Data Specialist

OtherTextEntity (NER) Classification

Performed text and visual data labeling to support NLP-oriented dataset preparation and supervised learning. Created structured text labels and categories aligned to labeling schemes needed for AI training workflows. Validated outputs through quality assurance steps to reduce noise and support reliable model feedback loops. • Labeled text elements and categorized them for training datasets • Structured annotations to match classification/tagging requirements • Performed quality validation to maintain consistency and accuracy • Integrated labeled outputs into AI training data formats

2024 - Present

Freelance AI Data Annotator / Visual Data Specialist

LabelboxImageBounding Box

Conducted image labeling for AI training datasets focused on object detection and classification. Applied bounding box annotations along with tagging systems to structure visual data for downstream model training pipelines. Performed iterative review and correction to maintain label consistency, precision, and data integrity. • Labeled objects using bounding boxes and related structured annotation formats • Ensured high consistency across classification and detection tasks • Reviewed and corrected annotation errors to improve dataset reliability • Worked on conceptual datasets involving real-world imagery interpretation

2024 - Present

Graphic Designer & Visual Communication Specialist (AI-Adjacent Skill Application) / Freelance

OtherDocumentClassification

Supported AI-adjacent labeling readiness by building structured categorizations and consistent labeling outputs for visual brand and marketing assets. Translated design thinking into organized datasets suitable for future image tagging and classification workflows. Maintained consistent structure across multiple creative categories to improve interpretability of labeled content. • Organized visual content into structured brand/logo and campaign categories • Applied attention to detail to support consistent labeling outputs • Developed pattern recognition and visual hierarchy skills transferable to AI labeling • Managed multiple labeled creative categories for dataset structuring

2022 - Present

Education

Work History