Kehinde S.

Key Skills

Software

Appen

Mindrift

Other

Top Subject Matter

AI response evaluation and QA

E-commerce product listing annotation

Conversational AI and structured classification QA

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Data Annotator/QA expert at Appen. Core strengths include Appen, Mindrift, and Other. Education includes Bachelor of Science, University of Ilorin (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotator/QA expert (Freelance) at Upwork

OtherText

Performed data annotation and quality assurance for AI-focused freelance projects covering conversational agents and structured data classification. Adapted to evolving guidelines and incorporated client feedback to improve label consistency. Conducted quality checks on completed annotations to verify accuracy, completeness, and compliance with project requirements. • Annotated conversational and structured classification data • Ran QA checks on completed work • Updated labeling practices with new guidelines • Ensured adherence to client/project standards

2023 - Present

Data Annotator/QA expert at Mindrift

MindriftTextClassification

Reviewed product listings to ensure accurate category placement based on product function, features, and intended use. Labeled and validated product attributes including type, material, use case, and specifications according to project rules. Applied consistent annotation guidelines across large datasets to meet labeling requirements. • Verified correct product category placement • Assigned and validated product attributes • Used project guidelines for consistent labels • Ensured completeness and guideline compliance

2024 - 2025

Data Annotator/QA expert at Appen

AppenText

Assessed whether AI outputs matched realistic human reasoning and decision-making in real-world scenarios. Provided written explanations when outputs were incorrect, incomplete, or misleading. Followed detailed annotation guidelines to ensure consistent labeling across large datasets. • Simulated human evaluation of AI responses • Delivered corrective written feedback • Applied quality criteria per project guidelines • Maintained accuracy consistency at scale

2024 - 2025

Education

Work History