Iyanu E.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

AI response evaluation and prompt assessment

QA review of AI-powered interfaces

Legal Services & Contract Review

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Data Collection

Transcription

Text Summarization

Object Detection

Text Generation

Question Answering

Classification

Freelancer Overview

AI Trainer & Content Evaluator (Freelance) | OpenTrain AI. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenTrain AI and JIRA. Education includes Bachelor of Science, Obafemi Awolowo University (2015) and Non-Degree Training Program, The African Regional Institute for Geospatial Information Science and Technology (AFRIGIST) (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Video Data Annotation & Object Segmentation Specialist

VideoPolygon

Worked on video data annotation and polygon-based object segmentation projects for AI model training and computer vision applications. Responsibilities included accurately outlining and labeling moving objects frame-by-frame within video datasets to improve machine learning model performance and detection accuracy. Performed detailed polygon annotations for objects such as vehicles, pedestrians, road signs, and environmental elements while maintaining consistency across large-scale datasets. Ensured high-quality labeling standards by following annotation guidelines, conducting self-quality checks, and correcting inconsistencies before submission. Contributed to AI training workflows by supporting dataset preparation, improving annotation precision, and maintaining timely delivery of assigned tasks in remote collaborative environments.

2025 - Present

Computer Vision Image Annotation & Polygon Labeling Project

ImagePolygon

Worked on image annotation and polygon labeling tasks for AI and computer vision model training projects. Responsibilities included accurately outlining objects within images using polygon annotation techniques to improve object detection and segmentation model performance. Handled datasets containing various real-world objects and environmental scenes while ensuring high annotation precision and consistency across all tasks. Followed strict project guidelines, quality assurance standards, and labeling protocols to maintain annotation accuracy. Performed data verification, error correction, and quality reviews to ensure datasets met AI training requirements. Collaborated with remote teams and adhered to deadlines for task submissions and dataset completion. Key responsibilities included: - Polygon-based object annotation - Image segmentation support - Dataset quality validation - Error checking and correction - Compliance with annotation guidelines - AI training data preparation

2025 - Present

Code Annotation & AI Programming Evaluation Specialist

Computer Code ProgrammingPolygon

Worked on AI training and data annotation projects focused on computer code programming and AI-generated coding responses. Responsibilities included reviewing, labeling, and evaluating programming-related datasets to improve machine learning model accuracy and performance. Performed annotation and validation tasks involving: - Reviewing AI-generated code outputs for correctness and efficiency - Labeling programming datasets according to project guidelines - Evaluating code quality, readability, syntax, and logical structure - Identifying bugs, inconsistencies, and inaccurate outputs - Comparing multiple AI-generated programming responses - Supporting training workflows for coding-focused AI systems - Maintaining high annotation accuracy and consistency standards Worked with programming-related content including Python, SQL, APIs, scripting logic, debugging tasks, and technical documentation. Followed strict quality assurance procedures, project instructions, and deadline requirements to ensure reliable and scalable training data production.

2025 - Present

AI Response Evaluation & Text Annotation Specialist

TextText Summarization

Worked on AI training and text annotation tasks focused on evaluating AI-generated responses for quality, relevance, accuracy, grammar, tone, and instruction-following. Performed content review and labeling tasks involving conversational AI outputs, prompt-response alignment, moderation checks, and text categorization. Reviewed and annotated large volumes of textual data to improve AI model performance and user interaction quality. Maintained consistency with annotation guidelines and quality assurance standards while meeting strict delivery timelines. Key responsibilities included: - Evaluating AI-generated responses for correctness and coherence - Labeling conversational data and text outputs - Identifying harmful, inaccurate, or low-quality responses - Performing moderation-related content reviews - Conducting research-based validation for responses - Maintaining annotation accuracy and consistency - Supporting prompt engineering and response optimization workflows Adhered to quality control measures including instruction compliance, manual verification, consistency checks, and deadline management to maintain high evaluation accuracy rates.

2025 - Present

AI Trainer & Content Evaluator (Freelance) — OpenTrain AI

Text

Evaluated and scored AI-generated responses for accuracy, tone, and instruction-following across diverse task types. Applied structured review criteria to detect hallucinations, bias, and formatting issues in model outputs. Maintained high-quality ratings through consistent prompt and chat assessment workflows.• Reviewed AI response outputs against quality guidelines and rubrics • Performed prompt engineering and evaluation tasks as part of AI training • Checked outputs for hallucinations, bias, and formatting defects • Ensured timely submissions and compliance with platform guidelines

2023 - Present

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Education

Work History