For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Akinola Jacob

Akinola Jacob

AI Training & Data Annotation Specialist

NIGERIA flag
kogi state, Nigeria
$10.00/hrIntermediateAxiom AICVATDataloop

Key Skills

Software

Axiom AI
CVATCVAT
DataloopDataloop
EncordEncord
Label StudioLabel Studio

Top Subject Matter

No subject matter listed

Top Data Types

DocumentDocument
ImageImage
VideoVideo

Top Label Types

Audio Recording
Data Collection
Segmentation

Freelancer Overview

As an AI Training Data Specialist, I possess a strong background in data entry and the systematic labeling of high-volume datasets for machine learning models. I specialize in the intersection of manual data accuracy and automation, ensuring that training data is processed with both speed and precision. My experience includes sanitizing raw data, identifying patterns for classification, and utilizing automation tools to streamline the data entry pipeline, which significantly reduces the time required for model iteration.

IntermediateEnglish

Labeling Experience

CVAT

AI Data Operations Specialis

CVATImageEntity Ner ClassificationText Generation
During this project, I managed the end-to-end data preparation and high-precision annotation of a dataset exceeding 20,000 high resolution images, contributing to the development of robust computer vision models. My work involved the execution of over 50,000 individual annotations, utilizing a variety of techniques including bounding boxes, polygons, and semantic segmentation to define complex object boundaries with pixel-level accuracy. I was responsible for identifying and tagging critical attributes such as lighting conditions and object occlusions to ensure the model could perform reliably in diverse, real-world environments.

During this project, I managed the end-to-end data preparation and high-precision annotation of a dataset exceeding 20,000 high resolution images, contributing to the development of robust computer vision models. My work involved the execution of over 50,000 individual annotations, utilizing a variety of techniques including bounding boxes, polygons, and semantic segmentation to define complex object boundaries with pixel-level accuracy. I was responsible for identifying and tagging critical attributes such as lighting conditions and object occlusions to ensure the model could perform reliably in diverse, real-world environments.

2023 - 2025

Education

F

Federal University of Technology, Minna

Bachelor of Engineering, Mechanical Engineering

Bachelor of Engineering
2023

Work History

F

Freelance

Executive Virtual Assistant & Customer Support

N/A
2022 - Present
S

Self-Employed

Digital Operations Specialist

N/A
2021 - Present