Olamide M.

Key Skills

Software

Mindrift

Top Subject Matter

AI/ML data annotation for language and content tasks

Health-tech content creation and content validation

Top Data Types

Text

Top Task Types

Entity (NER) Classification

Text Generation

Freelancer Overview

Data Annotator | Mindrift. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mindrift. Education includes Bachelor of Medical Laboratory Science, Ladoke Akintola University of Technology (2021) and Senior Secondary School Certificate Examination, Peace International College (2021). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification and Text Generation.

Labeling Experience

Content Writer | Med in Tech

TextText Generation

As part of my role as a content writer within the health-tech domain, I created written materials that supported AI and machine learning related content needs through structured content production. My contributions focused on producing clear, accurate, and audience-aligned text for digital platforms. While not explicitly labeled as model training, the work involved content validation practices that align with preparing high-quality textual inputs. • Wrote health-tech articles, scripts, and posts for technology audiences • Validated and refined content to improve accuracy and clarity • Optimized content for engagement and alignment with brand voice • Translated complex medical topics into understandable language for digital users

2021 - Present

Data Annotator | Mindrift

MindriftTextEntity (NER) Classification

As a Data Annotator at Mindrift, I reviewed, labeled, and categorized text and language-based content to support artificial intelligence system development. I analyzed language and content to ensure labeling accuracy, consistency, and quality for downstream machine learning model training. This work contributed to preparing reliable datasets for project guidelines and quality standards. • Performed text annotation, classification, and categorization according to task instructions • Ensured consistency across examples and maintained high annotation quality • Validated language-based content for correctness against guidelines • Supported machine learning model training by preparing labeled data

2021 - Present

Education

Work History