Helen U.

Key Skills

Software

Labelbox

Scale AI

Appen

Other

Top Subject Matter

NLP and supervised machine learning dataset preparation

Computer vision annotation (object detection/segmentation)

Speech recognition and NLP dataset labeling

Top Data Types

Text

Image

Audio

Video

Document

Top Task Types

Segmentation

Transcription

Classification

Data Collection

Freelancer Overview

Data Labeling & AI Annotation Specialist (Freelance/Remote). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Scale AI, and Appen. Education includes Bachelor of Medical Laboratory Science, University of Calabar (2024) and West African Senior School Certificate, Federal Government College (2018). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Segmentation, and Transcription.

Labeling Experience

Data Labeling & AI Annotation Specialist (Freelance/Remote)

OtherVideoClassification

Supported supervised machine learning training by labeling and annotating video datasets. Applied dataset-specific labeling and segmentation/metadata instructions as required by project guidelines. Reviewed and quality-checked annotations to ensure accuracy and consistency across batches. • Video labeling to support model training • Following style guides for consistent annotations • Resolving ambiguous cases during review • Maintaining high labeling accuracy through QA

2023 - Present

Data Labeling & AI Annotation Specialist (Freelance/Remote)

AppenAudioTranscription

Transcribed and labeled audio clips for speech recognition and NLP model development. Followed detailed labeling instructions to ensure consistent transcription and labeling across dataset batches. Performed quality review to maintain accuracy targets above 97%. • Audio transcription labeling for speech datasets • Consistent labeling per annotation guidelines • Quality checking and correction of ambiguous items • Support for supervised training dataset readiness

2023 - Present

Data Labeling & AI Annotation Specialist (Freelance/Remote)

Scale AIImageSegmentation

Tagged and segmented images for computer vision tasks to train object detection and related models. Used bounding boxes and polygon/semantic labels to annotate objects consistently across large-scale projects. Conducted review and quality control to maintain high accuracy and resolve ambiguous cases. • Bounding box annotation for object locations • Polygon-based tagging and semantic labeling • Image segmentation label creation • Accuracy-focused QA and ambiguity resolution

2023 - Present

Education

Work History