Paul Pedro

Key Skills

Software

Labelbox

Top Subject Matter

Large Language Models (LLMs)

Natural Language Processing (NLP)

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

No task types listed

Freelancer Overview

Data Annotator. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Science, Caleb University and National Diploma, Igbajo Polytechnic. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotator

LabelboxText

As a Data Annotator at Technify Africa, I provided high-quality annotated data for the training and evaluation of machine learning models, primarily focusing on prompts and chat interactions for large language models (LLMs). My core responsibilities included refining conversational AI outputs, ensuring models produced accurate and helpful responses, and performing quality audits to exceed a 95% compliance standard. I collaborated closely with raters and stakeholders to resolve quality issues and maintain project benchmarks. • Annotated and evaluated over 2,000 diverse prompts for LLM training and natural language processing. • Analyzed and rated model-generated chat interactions, contributing to continual AI improvement. • Conducted audits on production data to ensure strict adherence to labeling guidelines. • Utilized tools such as Labelbox, Dataloop, and CVAT to perform annotation tasks efficiently.

As a Data Annotator at Technify Africa, I provided high-quality annotated data for the training and evaluation of machine learning models, primarily focusing on prompts and chat interactions for large language models (LLMs). My core responsibilities included refining conversational AI outputs, ensuring models produced accurate and helpful responses, and performing quality audits to exceed a 95% compliance standard. I collaborated closely with raters and stakeholders to resolve quality issues and maintain project benchmarks. • Annotated and evaluated over 2,000 diverse prompts for LLM training and natural language processing. • Analyzed and rated model-generated chat interactions, contributing to continual AI improvement. • Conducted audits on production data to ensure strict adherence to labeling guidelines. • Utilized tools such as Labelbox, Dataloop, and CVAT to perform annotation tasks efficiently.

2025 - 2025

Education

Work History