Olufunmilayo A.

Key Skills

Software

OneForma

Micro1

Mercor

Top Subject Matter

Native-English text annotation for AI training (sentiment, themes, categories)

Text data annotation and evaluation for AI training (quality assurance)

Text data labeling for AI training (intent detection and categorization)

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Object Detection

Freelancer Overview

Data Annotation Evaluator, OneForma (Remote). Brings 21+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneForma, Micro1, and Mercor. Education includes Master of Business Administration, IWashinton Statue University (2020) and Bachelor of Science, Obafemi Awolowo University (2005). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Annotation Evaluator, OneForma (Remote)

OneFormaTextClassification

Provided native-language text annotation for AI training and evaluation tasks according to client guidelines, including sentiment, theme, and category identification. Performed structured self-checks to ensure consistency, accuracy, and adherence to labeling standards throughout high-volume workflows. Reported actionable feedback to support quality improvement and workflow efficiency while meeting weekly productivity targets within time-bound assignments. • Sentiment identification • Theme and linguistic category labeling • Guideline-based annotation and self-review • Quality/feedback reporting to improve labeling outcomes

2023 - Present

Senior Data Annotation Specialist, Micro 1 (Remote)

Micro1Text

Annotated and reviewed large text datasets used for AI training and evaluation in a deadline-driven environment. Maintained a 99% quality score across repetitive labeling tasks while ensuring consistency with annotation guidelines. Identified and escalated guideline ambiguities to support quality assurance initiatives and more reliable labeling outcomes. • Large dataset text annotation and review • 99% accuracy/quality maintenance • Guideline ambiguity identification • Collaboration with distributed teams for consistency

2021 - 2022

Data Annotation Specialist, Mecor (Remote)

MercorTextClassification

Completed high-volume text labeling assignments focused on intent detection and content categorization for AI training. Sustained accuracy above 97% while handling repetitive, deadline-driven annotation workloads in a fully remote setting. Demonstrated strong organization, self-motivation, and consistent adherence to task requirements. • Intent detection labeling • Content/category classification • High-volume repetitive text annotation • Remote execution with self-management

2020 - 2021

Education

Work History