Nancy U.

Key Skills

Software

Labelbox

Other

CVAT

Top Subject Matter

Computer vision (image annotation/object detection)

Natural language processing (text classification/sentiment)

Speech labeling for AI models

Top Data Types

Image

Text

Audio

Document

Top Task Types

Bounding Box

Classification

Transcription

Segmentation

Freelancer Overview

Data Labeling Specialist | Freelance Remote. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Other, and CVAT. Education includes Bachelor of Science, Imo State University (2020). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Classification, and Transcription.

Labeling Experience

Data Labeling Specialist | Freelance Remote

OtherAudioTranscription

Annotated audio datasets for AI training by producing transcription/speech-related labels aligned to project requirements. Completed quality checks to ensure the annotated audio outputs were accurate and usable for modeling. • Labeled audio content to support speech-focused machine learning tasks • Followed detailed labeling guidelines for consistency • Performed quality checks to maintain labeling accuracy • Delivered validated audio annotations within strict timelines

2023 - Present

Data Labeling Specialist | Freelance Remote

OtherTextClassification

Labeled text data as part of AI and machine learning training workflows, including classification-related tasks. Ensured labels matched the provided guidelines and supported downstream model development and evaluation. • Annotated text for AI/NLP projects using guideline-based labeling • Performed data validation and quality assurance on labeled outputs • Coordinated with AI teams to maintain consistent labeling standards • Ensured timely delivery of annotated datasets for training

2023 - Present

Data Labeling Specialist | Freelance Remote

LabelboxImageBounding Box

Annotated images for AI training projects including bounding box and related localization labels. Conducted dataset quality checks to maintain high labeling accuracy and compliance with project guidelines. • Labeled large-scale image datasets following detailed instructions • Performed validation/QA to achieve over 98% accuracy • Collaborated with project managers and AI teams to improve training data quality • Managed multiple concurrent labeling tasks while meeting deadlines

2023 - Present

AI Data Annotator | Independent Projects

CVATImageSegmentation

Worked on object detection and image segmentation labeling for computer vision projects. Reviewed and corrected mislabeled data to improve dataset quality and model performance. • Labeled visual content for object detection and segmentation tasks • Classified data relevant to NLP model training workflows • Corrected mislabeled samples through review and re-annotation • Maintained confidentiality when handling sensitive datasets

2021 - 2022

Education

Work History