Eseosa Aitanun

Key Skills

Software

Label Studio

Lionbridge

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Action Recognition

Bounding Box

Classification

Data Collection

Evaluation Rating

Transcription

Freelancer Overview

I am a detail-oriented data annotation and AI training professional with hands-on experience executing and overseeing high-precision data labeling projects for global clients. My background spans roles as an AI Trainer, Data Annotator, and Team Lead, where I have managed teams, audited data quality, and developed training guidelines to streamline workflows and boost efficiency. I am skilled in using tools like Sage 200 and Advanced Excel for data validation, quality assurance, and process improvement. My experience covers a range of domains, including multimedia and text data, and I consistently ensure strict adherence to annotation protocols, confidentiality, and project milestones. I thrive in collaborative, fast-paced environments and am passionate about delivering accurate, high-quality datasets to power machine learning models.

Labeling Experience

Data Annotator

Label StudioImageClassification

As a Data Annotator at Hugo Technologies, I was responsible for executing large-scale multimedia labeling tasks essential for AI model development. I meticulously followed complex project-specific annotation guidelines to preserve data consistency and quality. Throughout the project, I contributed to process improvements and consistently exceeded strict accuracy and throughput benchmarks. • Labeled and validated datasets across text, image, and video data for machine learning pipelines. • Analyzed edge cases and reported documentation for annotation rule clarification. • Achieved over 95% annotation accuracy rate over sustained periods. • Supported distributed team members by optimizing workflow processes.

As a Data Annotator at Hugo Technologies, I was responsible for executing large-scale multimedia labeling tasks essential for AI model development. I meticulously followed complex project-specific annotation guidelines to preserve data consistency and quality. Throughout the project, I contributed to process improvements and consistently exceeded strict accuracy and throughput benchmarks. • Labeled and validated datasets across text, image, and video data for machine learning pipelines. • Analyzed edge cases and reported documentation for annotation rule clarification. • Achieved over 95% annotation accuracy rate over sustained periods. • Supported distributed team members by optimizing workflow processes.

2024 - 2026

AI Data Annotator

Label StudioTextClassification

During my contract at Micro1, I performed advanced data annotation focused on providing high-precision training data for AI models. My role demanded close adherence to AI training protocols and responsiveness to evolving project needs. I contributed detailed quality insights and process feedback directly to project leads. • Annotated and reviewed textual data for multiple machine learning training tasks. • Conducted quality assurance checks and corrected inconsistencies in labeled datasets. • Delivered comprehensive feedback to improve future annotation workflows. • Adhered to company-specific logic to meet high consistency standards.

During my contract at Micro1, I performed advanced data annotation focused on providing high-precision training data for AI models. My role demanded close adherence to AI training protocols and responsiveness to evolving project needs. I contributed detailed quality insights and process feedback directly to project leads. • Annotated and reviewed textual data for multiple machine learning training tasks. • Conducted quality assurance checks and corrected inconsistencies in labeled datasets. • Delivered comprehensive feedback to improve future annotation workflows. • Adhered to company-specific logic to meet high consistency standards.

2025 - 2025

Education

Work History