Hamed Ayokunle

Key Skills

Software

Appen

OneForma

Mindrift

AWS SageMaker

Top Subject Matter

Large Language Model (LLM) Evaluation and Training

Top Data Types

Text

Document

Image

Top Task Types

Transcription

Classification

Evaluation Rating

Red Teaming

Question Answering

Data Collection

Text Generation

Text Summarization

Freelancer Overview

AI Data Annotation contributor with experience supporting large language model training and evaluation tasks across multiple annotation platforms. Skilled in evaluating model responses, ranking outputs, identifying hallucinations, and improving dataset quality through structured annotation and quality assurance processes. Education includes Diploma in Python Backend Engineering, AltSchool Africa (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Data Annotator / LLM Training Contributor

AppenText

As an AI Data Annotator and LLM Training Contributor, I evaluated and annotated text datasets to support the training and assessment of large language models. My responsibilities included ranking model outputs, detecting errors such as hallucinations, and verifying the factual correctness of AI-generated responses. I consistently followed detailed guidelines to ensure high-quality and reliable dataset creation. • Evaluated AI-generated text responses for accuracy and relevance. • Annotated and labeled text data for model training and evaluation. • Conducted fact verification and quality assurance checks on labeled data. • Contributed to prompt-response ranking tasks to improve LLM alignment.

As an AI Data Annotator and LLM Training Contributor, I evaluated and annotated text datasets to support the training and assessment of large language models. My responsibilities included ranking model outputs, detecting errors such as hallucinations, and verifying the factual correctness of AI-generated responses. I consistently followed detailed guidelines to ensure high-quality and reliable dataset creation. • Evaluated AI-generated text responses for accuracy and relevance. • Annotated and labeled text data for model training and evaluation. • Conducted fact verification and quality assurance checks on labeled data. • Contributed to prompt-response ranking tasks to improve LLM alignment.

2023 - Present

Education

Work History