Boon

Key Skills

Software

Data Annotation Tech

Remotasks

Micro1

Mercor

Top Subject Matter

AI language model training datasets (text/image/audio)

Software QA for training-related product evaluation workflows

Top Data Types

Text

Image

Top Task Types

Text Generation

Object Detection

Question Answering

Bounding Box

Freelancer Overview

AI Data Annotator — Atlascapture (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Test.io, and Jira. Education includes Bachelor of Engineering, Federal University Oye Ekiti (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

QA Tester — Test.io (Remote)

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Conducted quality assurance testing while coordinating feedback to improve outcomes for software releases in global test cycles. Focused on systematic regression and functional testing and reported defects with reproducible evidence to accelerate fixes. • Executed manual and exploratory tests across web and mobile applications for cross-device and cross-browser compatibility. • Identified and reported 150+ high-impact defects affecting product reliability and user experience. • Improved release quality by 25% through structured regression and functional testing. • Delivered detailed bug reports (steps, screenshots, and environment data) enabling faster developer turnaround.

2025 - Present

AI Data Annotator — Atlascapture (Remote)

Don't discloseText

Served as an AI data annotator supporting ML training by evaluating and reviewing large volumes of multimodal training data quality. Reviewed AI-generated and dataset content for accuracy, clarity, linguistic consistency, and contextual correctness using established annotation guidelines. • Annotated and reviewed 10,000+ data points across text, image, and audio datasets. • Achieved ~98% annotation accuracy while meeting or exceeding quality benchmarks. • Performed rigorous data validation and QA checks to reduce annotation inconsistencies by 20%. • Updated work according to evolving guidelines, new tools, and project requirements.

2025 - Present

Education

Work History