Ayomikun A.

Key Skills

Software

Data Annotation Tech

Dataloop

OneForma

Sama

CVAT

LabelImg

Other

Top Subject Matter

Generative AI Content (Text & Visual)

AI-Generated Visual Content

Visual Content

Top Data Types

Image

Text

Document

Audio

Top Task Types

Classification

Data Collection

Transcription

Cuboid

Segmentation

Freelancer Overview

AI Data Annotation & Content Evaluation Specialist | Afestar SolutionsLtd. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include CVAT, LabelImg, and ChatGPT. Education includes Bachelor of Laws, University of Benin (2024). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI-Assisted Data Labeling & Content Review | Twenty five Eleven Limited

OtherImageClassification

Labeled and categorized AI-generated outputs based on visual quality and contextual relevance. Evaluated multiple output variations, benchmarked best results, and integrated AI tools into the content annotation workflow. Improved project productivity and ensured outputs met defined standards of excellence. • Contributed to a measurable productivity increase through workflow optimization. • Maintained quality while annotating high volumes of data. • Coordinated with team to align on benchmark definitions. • Utilized AI-assisted tools for product labeling.

2024 - 2026

AI Data Annotation & Content Evaluation Specialist | Afestar SolutionsLtd

CVATImage

Evaluated and annotated AI-generated visual and text outputs, ensuring alignment with prompts and quality standards. Compared multiple AI-generated responses using structured evaluation criteria to select the most relevant outputs. Applied prompt refinement and content structuring techniques to enhance clarity, consistency, and usability of labeled data. • Improved output quality through detailed error identification and feedback. • Organized and categorized labeled assets and technical information. • Ensured adherence to quality metrics and project requirements. • Supported documentation and retrieval systems for annotated data.

2023 - 2026

Industrial & Engineering Image Annotator | LexData Labs

CVATImageSegmentation

Labeled industrial and engineering images, including refinery equipment, pipelines, and infrastructure, for computer vision applications in the energy sector. Applied bounding box, polygon, and semantic segmentation techniques using CVAT to generate high-quality datasets. Contributed labeled data supporting predictive maintenance and risk detection initiatives. • Created detailed labels for complex industrial assets. • Collaborated with technical teams for data validation. • Supported safety and inspection model development. • Adhered to industry best practices for annotation quality.

2025 - 2025

Medical Data Annotator | CuraSenseAI

CVATSegmentation

Performed annotation and segmentation of medical images such as MRI, CT scans, and X-rays for AI diagnostic model development. Ensured accuracy and compliance with medical data standards through rigorous quality control processes. Collaborated with clinical experts to refine complex annotation guidelines. • Segmented anatomical structures and identified pathologies. • Implemented peer-reviewed quality assurance checks. • Updated annotation protocols based on expert feedback. • Delivered annotated data according to project milestones.

2025 - 2025

AI Training Support (Visual Content & Prompt Optimization) | Apex Realty

OtherImage

Supported generative AI training workflows by refining prompts and evaluating AI-generated visual and textual outputs for quality, accuracy, and compliance. Applied structured content moderation and review standards to ensure outputs met brand and safety criteria. Provided iterative feedback to improve machine learning model relevance and reduce bias. • Conducted content ranking based on technical and aesthetic criteria. • Aligned generative outputs with organizational guidelines. • Prepared reference documentation on emerging genAI applications. • Enhanced prompting workflows for improved model outputs.

2025 - 2025

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Education

Work History