Brian M.

Key Skills

Software

Sama

CloudFactory

Top Subject Matter

AI response evaluation for global machine learning projects

Computer vision dataset annotation

Audio labeling for ML training datasets

Top Data Types

Text

Image

Document

Top Task Types

Bounding Box

Transcription

Classification

Entity (NER) Classification

Freelancer Overview

AI Data Trainer & Annotation Associate — Sama. Core strengths include Sama and CloudFactory. Education includes Bachelor of Science in Business Information Technology, Jomo Kenyatta University of Agriculture and Technology (JKUAT) (2026) and Certificate in Data Science & Digital Skills, Moringa School (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Bounding Box.

Labeling Experience

AI Data Trainer & Annotation Associate — Sama

SamaTextBounding BoxTranscription

Evaluated AI-generated responses to ensure accuracy, clarity, safety, and overall usefulness according to project requirements. Followed detailed evaluation guidelines while maintaining an audited accuracy rate above 98.5%. Adapted to changing project needs while meeting productivity and quality targets. • Compared outputs across safety, clarity, and correctness dimensions • Ensured consistency with rubric and annotation standards • Maintained high audited accuracy and quality metrics • Completed evaluation tasks for global ML clients

2025 - Present

Data Labeling Specialist — CloudFactory (CloudWorker)

CloudFactoryTextClassificationTranscription

Labeled and categorized text data to improve natural language processing model performance. Performed sentiment analysis and spam detection across multiple datasets following annotation instructions. Completed quality reviews that contributed to improving team accuracy by approximately 5%. • Labeled text for NLP training and evaluation datasets • Applied sentiment and spam detection labeling standards • Participated in accuracy-focused quality review cycles • Coordinated with team leads for consistent dataset delivery

2024 - 2025

Data Annotation Trainee / Intern — Digital Divide Data (DDD)

TextEntity (NER) Classification

Reviewed user-generated content to ensure compliance with platform safety guidelines. Evaluated search engine results for relevance and accuracy based on user queries. Trained on industry-standard annotation techniques, data security practices, and confidentiality requirements. • Conducted safety compliance checks on user content • Labeled/assessed search result relevance per queries • Followed confidentiality and data security requirements • Used annotation tools and detailed project instructions

2024 - 2024

Education

Work History