Sapphire Oshodi

Key Skills

Software

CVAT

Img Lab

Labelbox

LabelImg

Mindrift

OpenCV AI Kit (OAK)

Playment

Telus

Other

Top Subject Matter

Data Cleaning & Preprocessing

AI Quality Assurance & Model Validation

Data Annotation & Labeling (AI Training Data)

Top Data Types

Text

Video

Audio

Top Task Types

Classification

Bounding Box

Point Key Point

Object Detection

Segmentation

Text Generation

Question Answering

Text Summarization

Transcription

Data Collection

Evaluation Rating

Computer Programming Coding

Entity Ner Classification

Prompt Response Writing SFT

Fine Tuning

Polygon

Freelancer Overview

Data Annotator (Freelance). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Labelbox. Education includes Certificate in Data Science Applied Lab, WorldQuant University (2024) and Diploma in Full Stack Data Science, GOMYCODE (2024). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Annotator Specialist

LabelboxTextClassification

At Awarri Nigeria as Data Annotator Specialist, I successfully labeled and annotated over 50,000 data items and completed 6,000+ tasks with high-quality output. I contributed to annotation tool improvement, reducing annotation times by 15%, and participated in training three models that attained 95% precision. I ensured clear communication with data scientists, facilitating an efficient annotation-iteration process. • Provided feedback for continuous improvements in tool efficiency. • Annotated textual and possible multimodal data for machine learning projects. • Supported professional development by staying current with best practices and software tools. • Played a significant role in model development by offering high-quality annotations.

At Awarri Nigeria as Data Annotator Specialist, I successfully labeled and annotated over 50,000 data items and completed 6,000+ tasks with high-quality output. I contributed to annotation tool improvement, reducing annotation times by 15%, and participated in training three models that attained 95% precision. I ensured clear communication with data scientists, facilitating an efficient annotation-iteration process. • Provided feedback for continuous improvements in tool efficiency. • Annotated textual and possible multimodal data for machine learning projects. • Supported professional development by staying current with best practices and software tools. • Played a significant role in model development by offering high-quality annotations.

2025 - Present

Data Annotator (Freelance)

Label StudioTextClassification

As a Remote Freelance Data Annotator, I managed the annotation and labeling of over 95,000 data points, achieving 99% accuracy and adhering to quality standards. I collaborated with data scientists to train five machine learning models that achieved 97% precision, and provided actionable feedback on annotation guidelines that improved efficiency. My role included meticulous documentation and consistent process improvement in annotation best practices. • Labeled large-scale textual datasets for model training and validation. • Enhanced annotation guidelines leading to a 25% faster process. • Improved project tracking and reduced annotation errors by 55% through documentation. • Contributed to model performance improvement through high-quality data preparation.

As a Remote Freelance Data Annotator, I managed the annotation and labeling of over 95,000 data points, achieving 99% accuracy and adhering to quality standards. I collaborated with data scientists to train five machine learning models that achieved 97% precision, and provided actionable feedback on annotation guidelines that improved efficiency. My role included meticulous documentation and consistent process improvement in annotation best practices. • Labeled large-scale textual datasets for model training and validation. • Enhanced annotation guidelines leading to a 25% faster process. • Improved project tracking and reduced annotation errors by 55% through documentation. • Contributed to model performance improvement through high-quality data preparation.

2023 - Present

Education

Work History