Boluwatife E.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Mobile application performance assessment and fintech QA support

AI training and evaluation for response quality

Image-based AI training (Kled AI)

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Fine-tuning

Freelancer Overview

App Performance Assessment Assistant (Folio Games). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, ChatGPT, and Other. AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

App Performance Assessment Assistant (Folio Games)

Don't disclose

Assessed mobile application performance by reviewing functionality and usability against expected behavior. Evaluated fintech app performance by verifying that core features worked correctly and documenting observed issues. Produced structured feedback and reports to support quality improvements and debugging efforts. • Reviewed app functionality and UX for accuracy and consistency • Verified feature behavior for fintech applications • Logged defects and issues in detailed bug reports • Wrote structured feedback to guide fixes

2026 - Present

AI Trainer / AI Tester (Linear AI)

TextRLHF

Conducted training sessions with an AI system to improve its knowledge and adaptability through iterative interactions. Performed AI testing by evaluating the AI trainer outputs and checking that responses met intended requirements. Provided observations to refine model behavior and improve subsequent training rounds. • Ran series of training interactions to improve AI knowledge • Tested AI responses for relevance and correctness • Supported iterative improvements based on evaluation findings • Documented results from training and testing cycles

2026 - 2026

AI Trainer (Kled AI)

OtherImageFine-tuning

Trained an AI system using real-time images to improve its understanding and performance. Conducted experiments by capturing image inputs and using them to support Kled AI training. Evaluated training outcomes to confirm the model learned from the provided visual data. • Captured real-time pictures for training inputs • Ran experiments to improve Kled AI using visual data • Supported fine-tuning efforts based on image-based sessions • Assessed results of the training runs

2025 - 2026

Education

Work History