Just S.

Key Skills

Software

Scale AI

Appen

Labelbox

CVAT

Prodigy

Top Subject Matter

Computer Vision

Nlp Domain Expertise

Audio Transcription (AI/ML training datasets)

Top Data Types

Image

Text

Audio

Document

Top Task Types

Segmentation

Entity (NER) Classification

Transcription

Object Detection

Classification

Bounding Box

Polygon

Freelancer Overview

Senior Data Annotation Specialist — Freelance (Remote). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI, Outlier, and Appen. Education includes Bachelor of Science, Anambra State University (2019). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Segmentation, Entity (NER) Classification, and Evaluation.

Labeling Experience

Senior Data Annotation Specialist - Freelance

LabelboxImageSegmentationObject Detection

Worked remotely delivering multi-modal data labeling and dataset preparation for AI/ML clients. Maintained rigorous quality and accuracy benchmarks across multiple annotation modalities, including image, text, audio, and video. Coordinated independent project workflows from briefing through final dataset delivery while meeting tight turnaround times. • Produced image segmentation, object detection, sentiment labels, and audio transcriptions • Performed quality checks and peer review to reduce annotation errors • Specialized in complex edge cases like autonomous driving and medical image tagging • Managed end-to-end annotation timelines, documentation, and delivery quality

2023 - Present

Senior Data Annotation Specialist — Freelance (Remote)

Scale AIImageSegmentation

Provided multi-modal dataset annotations including image segmentation, object detection, NLP sentiment labeling, and audio transcription for AI/ML clients. Maintained annotation accuracy above 97% and met quality benchmarks on annotation platforms. Reviewed and quality-checked peer annotations, delivering structured feedback to reduce error rates on collaborative projects.• Image segmentation and object detection annotations for AI/ML training• NLP sentiment labeling, multilingual text work, and entity tagging support• Audio transcription and dataset curation inputs• Edge-case annotation for autonomous driving and medical image tagging

2023 - Present

Data Science Freelancer — Self-Employed (Remote)

LabelboxAudioTranscription

Designed and deployed machine learning models and performed end-to-end data science workflows for client use cases. While not explicitly described as annotation-heavy work, supported data cleaning and preprocessing and contributed structured outputs for downstream ML pipelines. Delivered freelance client services including preprocessing for messy unstructured datasets and model-ready reporting.• Data cleaning and preprocessing to prepare model inputs• Feature engineering, model training, evaluation, and reporting for ML projects• Support for sentiment analysis and churn/sales forecasting pipelines• Client-facing delivery via Upwork and Fiverr

2020 - Present

Data Annotation Specialist - Freelance

LabelboxImageBounding BoxPolygon

Worked remotely as a data annotation specialist supporting conversational AI dataset creation. Produced labeled data for intent classification, entity recognition, and dialogue labeling in multiple languages. Completed computer vision annotation tasks and collaborated with project managers to clarify guidelines and improve instructions. • Delivered bounding box, polygon, and semantic segmentation annotations • Helped calibrate models through A/B annotation testing rounds • Provided structured feedback to improve subsequent annotator task instructions • Supported remote collaboration and guideline adherence for dataset curation

2021 - 2022

Data Annotation Specialist — Freelance (Remote)

LabelboxTextEntity (NER) Classification

Labeled large-scale conversational AI datasets including dialogue labeling, intent classification, and entity recognition across English and Pidgin English. Completed computer vision segmentation annotations using bounding box, polygon, and semantic segmentation formats for training datasets. Collaborated with project managers to clarify guidelines and improve instructions for future annotators, and supported A/B testing for model calibration.• Dialogue and intent labeling for conversational AI datasets• Entity recognition (NER) across multilingual text (English and Pidgin English)• Bounding box, polygon, and semantic segmentation annotations for CV training• A/B annotation testing participation to support dataset curation

2021 - 2022

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Education

Work History