Joseph E.

Key Skills

Software

CVAT

Labelbox

Other

Top Subject Matter

Computer Vision (object detection, semantic segmentation)

Natural Language Processing (intent/entity/sentiment)

Speech/ASR (transcription and audio labeling)

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Transcription

Freelancer Overview

Data Annotation Specialist (FreelanceAI Projects) - Image annotation for CV ML pipelines. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Other. Education includes Bachelor of Science, University of Lagos (2022). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Entity (NER), and Transcription.

Labeling Experience

Data Annotation Specialist (FreelanceAI Projects) - ASR audio transcription & labeling

OtherAudioTranscription

Transcribed and labeled audio clips for ASR (automatic speech recognition) training sets. Worked with diverse accents and challenging audio conditions to ensure accurate ground-truth text and annotations. • Produced transcription outputs for ASR dataset preparation • Labeled audio to support training and evaluation workflows • Managed variability from noisy recordings and accent differences • Participated in quality assurance checks to ensure label reliability

2023 - Present

Data Annotation Specialist (FreelanceAI Projects) - Conversational AI dataset annotation

OtherText

Labeled conversational AI/NLP datasets to improve model accuracy for text understanding tasks. Performed intent classification, entity tagging, and sentiment labeling according to annotation instructions. • Labeled intent categories and entities for NLP dataset construction • Applied sentiment tagging to support downstream classification • Used review workflows to maintain label quality and consistency • Flagged ambiguous cases to project leads for escalation

2023 - Present

Data Annotation Specialist (FreelanceAI Projects) - Image annotation for CV ML pipelines

CVATImageBounding Box

Annotated 50,000+ images for object detection and semantic segmentation to support machine learning model development. Applied bounding boxes, polygons, and key-point annotations while following project-specific guidelines and consistency requirements. • Tooling used: CVAT and Labelbox for image annotation workflows • Label types: bounding boxes, polygons, semantic segmentation, and key points • Focus areas: object detection and semantic segmentation tasks • Conducted guideline interpretation and escalated ambiguous edge cases for review

2023 - Present

Education

Work History