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J
Juliet D.

Juliet D.

Communication Specialist || AI Data Annotation Specialist || Human Data Specialist

Nigeria flagUyo, Nigeria

Key Skills

Software

CVATCVAT
LabelboxLabelbox
Label StudioLabel Studio
Micro1
Scale AIScale AI
SuperAnnotateSuperAnnotate
ProdigyProdigy
AWS SageMakerAWS SageMaker
AppenAppen
Other
TolokaToloka

Top Subject Matter

AI object detection
computer vision dataset annotation
NLP annotation

Top Data Types

VideoVideo
TextText
ImageImage
DocumentDocument

Top Task Types

Bounding BoxBounding Box
TranscriptionTranscription
Text SummarizationText Summarization
Object DetectionObject Detection
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
TrackingTracking

Freelancer Overview

AI Data Annotation Specialist (Freelance Contractor) — Image Annotation. Core strengths include Other, Appen, and Toloka. Education includes Bachelor of Science, University of Uyo (2023) and Bachelor of Science, Botany/Ecological Studies Data Vision AI Solutions (2025). AI-training focus includes data types such as Image, Text, and Video and labeling workflows including Bounding Box, Entity (NER) Classification, and Tracking.

Labeling Experience

AI Data Annotation Specialist (Freelance Contractor) — Video Tracking

OtherVideoVideoTrackingTracking

Conducted video annotation for machine learning training by performing object tracking across multiple frames. Followed labeling guidelines to ensure temporal consistency and accurate tracking outputs. Prepared annotation data for use in downstream model training. • Tracked objects across successive video frames. • Applied strict guideline adherence for consistent tracks. • Reviewed outputs to support reliable dataset creation. • Prepared structured results within project schedules.

2025 - Present

AI Data Annotation Specialist (Freelance Contractor) — Text Labeling

OtherTextTextEntity (NER) ClassificationEntity (NER) Classification

Performed text labeling for NLP tasks including sentiment analysis, categorization, and intent detection to improve LLM and model understanding. Applied guideline-based labeling with quality checks to preserve label consistency across examples. Contributed high-quality annotations intended for training and evaluation workflows. • Labeled text for sentiment, categories, and intent classes. • Conducted consistency checks to reduce labeling variance. • Maintained compliance with annotation standards and QA requirements. • Produced outputs suitable for AI training pipelines.

2025 - Present

Image & Text Data Annotation for AI Model Training

OtherImageImageBounding BoxBounding Box

Annotated a dataset of fashion product images and customer reviews to support AI model training for an e-commerce platform. I applied bounding boxes to identify and label items such as clothing, accessories, and footwear. I ensured high accuracy and consistency by following detailed annotation guidelines and performing quality checks. The labeled data was used to improve product recognition and enhance customer experience through better search and recommended systems.

2025 - Present
Toloka

Data Annotation Contributor (Contract Platforms) — Content & Relevance Evaluation

TolokaTolokaTextText

Contributed to content evaluation and search relevance annotation as part of multi-platform AI training dataset preparation. Labeled examples according to detailed guidelines to support consistent dataset construction. Performed accuracy and compliance checks to maintain high-quality outputs for ongoing projects. • Evaluated content and labeling targets based on instructions. • Labeled search relevance items to improve ranking-related datasets. • Ensured consistency across annotation decisions. • Delivered compliant annotations for model training usage.

2022 - Present
Appen

Data Annotation Contributor (Contract Platforms) — Multi-Dataset Labeling

AppenAppenImageImageClassificationClassification

Completed data annotation tasks across multiple AI training platforms supporting diverse training needs. Worked on datasets involving images, text, search relevance, and content evaluation to help improve model performance. Ensured accuracy, consistency, and compliance with platform and project annotation guidelines. • Labeled image and content-related tasks for AI training. • Applied QA checks to maintain annotation reliability. • Followed dataset-specific instructions and compliance requirements. • Contributed to improved training data quality across projects.

2022 - Present

Education

U

University of Uyo

Bachelor of Science, Botany and Ecological Studies

Bachelor of Science
2019 - 2023

Work History

M

Motion Tribe Connect

Project Manager

Uyo
2026 - Present
B

Belle House Of Royalz

Lead Strategist

Uyo
2024 - Present