Agbalaya S.

Key Skills

Software

CVAT

Labelbox

Top Subject Matter

Object detection image datasets

Speech recognition audio datasets

AI response evaluation and QA

Top Data Types

Image

Audio

Text

Top Task Types

Bounding Box

Transcription

Freelancer Overview

Upwork AI Image Annotation Project (Object detection). Core strengths include CVAT and Labelbox. Education includes Bachelor of Science, Trinity University. AI-training focus includes data types such as Image, Audio, and Text and labeling workflows including Bounding Box, Transcription, and Evaluation.

Labeling Experience

Upwork AI Image Annotation Project (Object detection)

CVATImageBounding Box

Annotated 5,000+ images with bounding boxes and object labels for object detection datasets to support AI model training and performance. Ensured high accuracy and label consistency across the annotated dataset. Followed annotation instructions to maintain dataset quality and readiness for downstream evaluation and training. • Labeled objects within images using bounding boxes • Verified annotation accuracy and consistency across samples • Used CVAT and Labelbox for image labeling • Prepared labeled data for object detection model workflows

2024 - Present

Upwork AI Response Quality Evaluation (App testing/AI response QA)

LabelboxText

Reviewed AI-generated responses and rated their quality based on relevance and accuracy using defined evaluation guidelines. Provided feedback intended to improve model outputs and compliance with expected behavior. Performed response quality evaluation as part of an AI response quality improvement workflow. • Conducted AI response quality evaluation • Rated outputs on relevance and accuracy • Followed strict evaluation guidelines and metrics • Submitted feedback to help improve model responses

2022 - 2026

Fiverr Audio Transcription & Labeling Project

LabelboxAudioTranscription

Transcribed and labeled audio datasets for speech recognition system training and quality improvement. Identified speaker differences and background noise patterns to support cleaner training data. Maintained clear and accurate timestamp alignment for labeled audio segments. • Transcription and labeling for speech recognition • Speaker differentiation and noise pattern identification • Timestamp-aligned labeling for audio segments • Quality-focused review to improve dataset reliability

2019 - 2024

Education

Work History