Clement Okiya

Key Skills

Software

CVAT

Dataloop

Labelbox

OneForma

Supervisely

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Audio Recording

Classification

Computer Programming Coding

Text Generation

Text Summarization

Freelancer Overview

I’m a highly experienced AI Trainer and Data Labeling Specialist with over 5 years of hands-on expertise across diverse data types; text, image, video, and audio. My work spans high-demand industries such as healthcare, autonomous vehicles, and finance, where I’ve annotated and QA-checked over 150,000+ data points using tools like CVAT, Labelbox, and Supervisely. I specialize in LLM fine-tuning, NLP entity/sentiment tagging, 3D object detection, and temporal video annotation, consistently delivering >98% accuracy across client audits. What sets me apart is my versatility across labeling types (bounding boxes, segmentation, keypoints, LiDAR) and domain fluency in both general and specialized tasks—from self-driving CV datasets to multilingual chat moderation and medical image diagnostics. I combine deep tool proficiency with rigorous quality control workflows and strong communication skills, enabling fast onboarding, reliable task delivery, and repeat client success. My goal is to support cutting-edge AI systems with the highest quality training data.

Labeling Experience

Accurate & fast data entry specialist for AI & admin tasks

CVATVideoBounding BoxPolygon

Performed high-volume data entry and validation for AI training pipelines and administrative databases, ensuring consistent formatting, accuracy, and timely delivery. Tasks included entering structured and unstructured data into platforms like Excel, Google Sheets, and Airtable, and preparing datasets for machine learning applications (e.g., text classification, image metadata tagging). Collaborated with QA teams to cross-check inputs and implement version control processes that reduced entry errors by 30%. Also handled admin tasks such as form digitization, CRM updates, and invoice logging—delivering projects ahead of schedule with >99% accuracy.

Performed high-volume data entry and validation for AI training pipelines and administrative databases, ensuring consistent formatting, accuracy, and timely delivery. Tasks included entering structured and unstructured data into platforms like Excel, Google Sheets, and Airtable, and preparing datasets for machine learning applications (e.g., text classification, image metadata tagging). Collaborated with QA teams to cross-check inputs and implement version control processes that reduced entry errors by 30%. Also handled admin tasks such as form digitization, CRM updates, and invoice logging—delivering projects ahead of schedule with >99% accuracy.

2024 - 2024

Education

Work History