Mayowa Victor Adekunle Agbale

Key Skills

Software

Lionbridge

Clickworker

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Image

Document

Video

Top Label Types

Object Detection

Data Collection

Entity Ner Classification

Freelancer Overview

I am a detail-oriented professional with a strong background in data annotation, search quality evaluation, and support roles within the tech industry. My experience as a data annotation expert and tester at Applause has allowed me to develop a keen eye for accuracy, relevance, and quality in online content, contributing directly to the improvement of AI training data and user experience. With a B.Sc in Information Technology and an M.Sc in English Language and Literature, I combine technical expertise with advanced language skills, making me adept at tasks involving natural language processing and content evaluation. I am proficient with Google tools, Microsoft Server, and various social media platforms, and I have a proven ability to analyze, label, and assess data for diverse AI applications. My passion for technology and continuous learning keeps me motivated to deliver high-quality results in remote and collaborative environments.

Labeling Experience

Photo collection ISC labelling

LionbridgeImageObject DetectionData Collection

Scope: Take 3-5 photos of working environment with working tools in view including an individual working and take isolated photos of all working tools sequentially. do not use AI enhancement tools Specific tasks: Use recommended metadata labelling format to label each photo taken separating them by numbers 001_000 etc Project size: 3-8 images per set, timeframe is 2 days and task time for completion is 20-40 minutes. Quality measure: Use 720 -1080p enabled camera, no AI enhancements, must be taken under good lightening conditions and different background.

Scope: Take 3-5 photos of working environment with working tools in view including an individual working and take isolated photos of all working tools sequentially. do not use AI enhancement tools Specific tasks: Use recommended metadata labelling format to label each photo taken separating them by numbers 001_000 etc Project size: 3-8 images per set, timeframe is 2 days and task time for completion is 20-40 minutes. Quality measure: Use 720 -1080p enabled camera, no AI enhancements, must be taken under good lightening conditions and different background.

2025 - 2025

ID verification testing app

ClickworkerDocumentEntity Ner Classification

Scope of project: Help a client enhance ID detection and verification. Specific Task: Snap the front and back of a valid national ID of your country Project size: 1hr Quality: 720p

Scope of project: Help a client enhance ID detection and verification. Specific Task: Snap the front and back of a valid national ID of your country Project size: 1hr Quality: 720p

2022 - 2022

Webcam video quality testing

TolokaVideoData Collection

Scope of project: Testing laptop webcam video quality. Specific Task: Use your laptop webcam to record 4-6 videos and upload Project size: 1hr Quality: 480p, must meet lightening quality background check

Scope of project: Testing laptop webcam video quality. Specific Task: Use your laptop webcam to record 4-6 videos and upload Project size: 1hr Quality: 480p, must meet lightening quality background check

2020 - 2020

Education

Work History