Ripon C.

Key Skills

Software

CVAT

Top Subject Matter

AI/ML training datasets (image and text)

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Polygon

Classification

Freelancer Overview

Associate (BPO) – Data Annotation at Acote Group (data labeling for AI/ML datasets). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT. Education includes Bachelor of Science, East West University (2025). AI-training focus includes data types such as Image and labeling workflows including Bounding Box, Polygon, and Classification.

Labeling Experience

Associate (BPO) – Data Annotation - Acote Group

CVATImageBounding BoxPolygon

As an Associate (BPO) in Data Annotation, you curated and verified image and text datasets for AI/ML training using CVAT. You performed annotation tasks such as bounding boxes, polygons, and classification while adhering to project guidelines and quality standards. You also coordinated with quality assurance to identify and correct annotation errors while maintaining consistent daily productivity targets. • Annotated and reviewed image and text datasets using CVAT for AI/ML training and validation • Completed bounding box, polygon, and classification work per guideline requirements • Ensured annotation accuracy through self-review and compliance with quality criteria • Collaborated with QA teams to resolve errors and improve dataset reliability

2025 - Present

Associate (BPO) – Data Annotation at Acote Group (data labeling for AI/ML datasets)

CVATImageBounding Box

Worked as a Data Annotation (BPO) Associate performing supervised labeling for AI/ML training and validation. • Labeled images using bounding boxes and polygon/outline annotations. • Performed classification labeling according to project guidelines. • Reviewed and re-checked annotations to ensure accuracy and guideline compliance. • Collaborated with quality assurance to resolve errors and strengthen dataset reliability.

2025 - Present

Education

Work History