Geofrey M.

Key Skills

Software

Labelbox

Top Subject Matter

AI assistant evaluation and model improvement

Natural language processing & conversational data

AI prompt evaluation and multimodal data annotation

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

AI Quality Rater. Core strengths include Labelbox. Education includes Certificate, University of Nairobi (2023) and Diploma, Technical University of Mombasa (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Quality Rater

LabelboxText

As an AI Quality Rater, I evaluated AI-generated responses for their factual accuracy and coherence. My work involved comparing, selecting, and rating multiple outputs while identifying unusual model behaviors or edge cases. This role helped improve the overall reliability of AI training datasets and informed the validation of new AI features before deployment. • Rated responses for factual accuracy and clarity. • Selected the most relevant answers against clear evaluation criteria. • Logged and flagged edge cases for model improvement. • Participated in pre-deployment AI feature testing.

2024 - Present

Data Annotation Specialist

LabelboxTextClassification

As a Data Annotation Specialist, I labeled and categorized text and conversational datasets for machine learning model training. My work focused on improving natural language understanding by maintaining high annotation consistency and accuracy. Participating in dataset quality review processes helped ensure data integrity for downstream AI tasks. • Labeled, reviewed, and categorized data for NLP tasks. • Annotated text per client-provided guidelines. • Maintained strict quality and consistency standards. • Participated in regular quality assurance checks.

2023 - 2025

AI Data Trainer

LabelboxText

As an AI Data Trainer, I evaluated AI prompts and generated responses to train conversational models. My annotation work spanned both text and image datasets for various machine learning applications. I provided detailed qualitative feedback to boost AI performance and reliability. • Evaluated and annotated prompts and responses. • Provided feedback on AI-generated outputs. • Labeled text and images for ML applications. • Helped improve the overall quality of machine learning data.

2022 - 2024

Education

Work History