Ayomide O.

Key Skills

Software

Other

Top Subject Matter

LLM response evaluation and quality annotation

Image captioning and supervised dataset labeling

Multimodal dataset labeling (text, images, audio, video)

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

AI Training Contributor (Meridian / Invisible Technologies). Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Arts, University of Ilorin. AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Caption + Response Writing (SFT).

Labeling Experience

Image Captioning & Data Labeling Specialist (TesterWork)

OtherImage

You annotated and captioned images across multiple categories including objects, environments, and human activities. You produced clear, context-aware captions that reflect spatial relationships and detailed visual information while following structured labeling frameworks. You met platform accuracy benchmarks and participated in quality review expectations to ensure reliable training data quality. • Caption images with context-aware descriptions reflecting visual and spatial detail. • Follow structured labeling frameworks for consistent dataset creation. • Ensure dataset accuracy by meeting review and platform benchmarks. • Maintain quality during repetitive annotation tasks.

2025 - Present

AI Training Contributor (Meridian / Invisible Technologies)

Text

You evaluated AI-generated responses for accuracy, relevance, tone, and factual correctness while following detailed annotation guidelines. You completed high-volume microtasks and used consistency and attention to detail to meet quality and turnaround targets. You identified inconsistencies and edge cases to support ongoing model improvement and maintain high precision across repetitive evaluations. • Rate response quality using provided rubrics for accuracy, relevance, tone, and factuality. • Apply LLM output annotation guidelines to ensure structured feedback. • Flag edge cases and inconsistencies for iterative model improvements. • Deliver results within quality and benchmark-driven turnaround requirements.

2025 - Present

Data Labeling Specialist (Freelance / Self-Directed Projects)

OtherTextClassification

You labeled and classified multimodal datasets for supervised machine learning pipelines, including text, images, audio, and video. You applied computer vision annotation techniques such as bounding boxes, polygon labeling, and semantic segmentation as well as NLP tagging including named entity recognition and intent classification. You performed quality assurance on peer-labeled data and documented decisions and edge cases to support guideline refinement. • Label and classify text, image, audio, and video data for ML training. • Annotate visual data using bounding boxes, polygons, and semantic segmentation. • Perform NER tagging and intent classification for NLP model training. • Conduct QA checks and document edge cases to improve labeling guidelines.

2024 - Present

Education

Work History