Oluwatunmise D.

Key Skills

Software

Other

Top Subject Matter

AI / Machine Learning, Data Annotation, LLM Evaluation

Data Annotation & AI Training

Language Services (Translation / Yoruba & English)

Top Data Types

Text

Document

Top Task Types

Classification

Question Answering

Evaluation/Rating

Prompt + Response Writing (SFT)

Text Summarization

Text Generation

Freelancer Overview

Freelance AI Data Annotation / LLM Rater (Upwork & populii.ai. on Freelancer.com). Professional background includes roles such as Administrative Officer and Store Keeper. Core strengths include Other. Education includes National Diploma, Federal Polytechnic Ede. AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Ai/chat bot training Populii.Ai (Freelancer.com)

TextEvaluation/Rating

AI Chatbot Training – Populii.ai (Freelancer.com) Description: Contributed to the training and improvement of AI chatbot systems on Populii.ai, a Freelancer.com platform initiative focused on enhancing conversational AI performance. Tasks involved evaluating chatbot responses for accuracy, relevance, and tone, labeling and correcting data, and providing high-quality feedback to improve natural language understanding. Ensured consistency in responses across various user queries and helped refine model behavior for better user experience and reliability. Key Responsibilities: Reviewed and rated AI-generated chatbot responses for quality and correctness Annotated and labeled datasets to improve machine learning model training Identified errors in AI responses and provided structured corrections Followed detailed guidelines to ensure data consistency and accuracy Supported continuous improvement of conversational AI performance

2024 - 2025

LLM Rater Scale Ai. (Upwork)

OtherTextEvaluation/Rating

Description: Worked as an LLM (Large Language Model) Rater on projects managed through Scale AI via Upwork, focusing on evaluating and improving AI-generated content. The role involved assessing model responses for accuracy, relevance, clarity, and safety, as well as comparing multiple outputs to determine the best-performing responses. Provided structured feedback to help improve model alignment with user intent and enhance overall language quality. Key Responsibilities: Evaluated AI-generated responses based on quality rating guidelines Compared multiple model outputs to select the most accurate and helpful response Identified errors such as hallucinations, bias, or unclear reasoning in AI outputs Provided detailed feedback to improve model training and performance Ensured consistency and adherence to evaluation standards

2024 - 2024

Education

Work History