Ugochukwu O.

Key Skills

Software

Labelbox

CVAT

Label Studio

Top Subject Matter

Computer Vision / AI-ML Image Dataset Creation

Top Data Types

Image

Video

Audio

Top Task Types

Segmentation

Bounding Box

Polygon

Point/Key Point

Object Detection

Question Answering

Text Generation

RLHF

Classification

Polyline

Cuboid

Entity (NER) Classification

Transcription

Data Collection

Fine-tuning

Text Summarization

Freelancer Overview

Visual Annotation Specialist | Data Annotator — Beyond Human Intelligence (Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Label Studio. Education includes Bachelor of Engineering, University of Benin (2018) and Secondary School Education, Federal Government College, Warri (2010). AI-training focus includes data types such as Image and labeling workflows including Segmentation.

Labeling Experience

Visual Annotation Specialist | Data Annotator — Beyond Human Intelligence (Remote)

LabelboxImageSegmentation

Visual Annotation Specialist / Data Annotator producing guideline-compliant labels for AI and machine learning computer vision datasets. Annotated large-scale images using bounding boxes, polygons, and segmentation masks to support model development and evaluation. Performed image sorting, filtering, and QA-calibration collaboration to maintain high accuracy and dataset consistency. • Applied bounding boxes, polygon labeling, and segmentation masks • Sorted, analyzed, and filtered high volumes of images for quality • Used logical reasoning to decide labels for ambiguous or edge cases • Collaborated with data scientists and engineers during QA calibration sessions

2023 - Present

Education

Work History