Odekunle V.

Key Skills

Software

Other

Data Annotation Tech

Top Subject Matter

LLM evaluation

factuality and reasoning assessment

policy compliance

Top Data Types

Text

Image

Document

Top Task Types

Classification

Question Answering

Freelancer Overview

AI Training & Data Annotation Specialist (LLM response evaluation/ranking) at CrowGen (Remote). Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Adeyemi Federal University of Education (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Training & Data Annotation Specialist (LLM response evaluation/ranking) at CrowGen (Remote)

Text

Evaluated and ranked 1,500+ LLM responses per week for factual accuracy, reasoning depth, and policy compliance. Applied human judgment and critical thinking to provide high-quality feedback that improves model conversational capability. Maintained consistent quality accuracy scores above 98% for complex annotation and grading tasks. • Assessed factual accuracy and reasoning depth of LLM outputs • Checked policy compliance and overall quality alignment • Produced human feedback for model refinement • Ensured 98%+ accuracy across grading workflows

2025 - 2026

Research Participant & Data Contributor at Prolific (Remote)

OtherText

Completed 350+ specialized AI training and evaluation tasks for academic and commercial machine learning research projects. Analyzed LLM responses, text classifications, and reasoning outputs to improve dataset quality used for training and assessment. Followed granular annotation guidelines to maintain a task approval rating above 95%. • Evaluated LLM responses and reasoning outputs • Performed text classification-related annotation work • Adhered to detailed quality and guideline standards • Maintained 95%+ task approval rating

2024 - 2024

Machine Learning Data Labeler at Fiverr (Remote)

OtherTextClassification

Labeled and categorized 20,000+ diverse data points, including product descriptions and customer reviews. Implemented quality control processes to ensure correct, consistent, and error-free annotations for training datasets. Collaborated with global clients to deliver structured labeled data tailored to specific machine learning model training requirements. • Annotated product descriptions and customer reviews • Produced categorized labels for dataset enrichment • Applied quality control checks for labeling accuracy • Coordinated with clients for task-specific formatting and requirements

2023 - 2024

Education

Work History