Jordan Okechukwu

Key Skills

Software

Clickworker

CVAT

Data Annotation Tech

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Classification

Computer Programming Coding

Data Collection

Object Detection

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I am an experienced AI data labeller and annotator with a strong background in delivering high-quality training datasets for machine learning models. My work has included precise labeling and annotation of images, text, and audio data, ensuring accuracy and consistency to meet strict project specifications. I am skilled at identifying edge cases and ambiguous data points, contributing to improved dataset integrity and model performance. I collaborate closely with AI teams to understand guidelines, maintain annotation standards, and deliver outputs within tight deadlines. My expertise with tools such as Google Workspace, Microsoft Office Suite, Jira, and Trello, along with my attention to detail and commitment to quality assurance, enables me to support diverse AI and data-driven projects across domains like e-commerce and digital marketing.

Labeling Experience

AI Data Annotator / Labeller | Atlas Capture

Label StudioImageClassification

As an AI Data Annotator and Labeller at Atlas Capture, I labeled and annotated images, text, and audio to support AI model training. I diligently maintained annotation consistency and accuracy by following project-specific guidelines. My efforts directly improved the dataset's overall quality and contributed to the success of machine learning projects. • Annotated with tools including Label Studio, CVAT, Labelbox, and Scale AI platforms • Participated in quality assurance cycles and peer annotation auditing • Collaborated with project leads to enhance guidelines and resolve edge-case data points • Delivered consistently high throughput of annotated data under strict deadlines

As an AI Data Annotator and Labeller at Atlas Capture, I labeled and annotated images, text, and audio to support AI model training. I diligently maintained annotation consistency and accuracy by following project-specific guidelines. My efforts directly improved the dataset's overall quality and contributed to the success of machine learning projects. • Annotated with tools including Label Studio, CVAT, Labelbox, and Scale AI platforms • Participated in quality assurance cycles and peer annotation auditing • Collaborated with project leads to enhance guidelines and resolve edge-case data points • Delivered consistently high throughput of annotated data under strict deadlines

2025

AI Data Annotator / Labeller | Handshake AI

Label StudioImageClassification

At Handshake AI, I annotated and labeled multimodal datasets to support AI model training. My work included using detailed annotation schemas for text and image data. I ensured high dataset integrity and consistency through quality control and feedback activities. • Worked with annotation tools and adapted to varying project requirements • Reviewed and cross-checked large batches of annotated data for accuracy • Contributed feedback on ambiguous cases to improve labelling standards • Ensured project benchmarks were met with consistent throughput

At Handshake AI, I annotated and labeled multimodal datasets to support AI model training. My work included using detailed annotation schemas for text and image data. I ensured high dataset integrity and consistency through quality control and feedback activities. • Worked with annotation tools and adapted to varying project requirements • Reviewed and cross-checked large batches of annotated data for accuracy • Contributed feedback on ambiguous cases to improve labelling standards • Ensured project benchmarks were met with consistent throughput

2025 - 2025

Education

Work History