Brian Jomo

Key Skills

Software

CrowdSource

Other

Top Subject Matter

No subject matter listed

Top Data Types

Video

Image

Top Label Types

Segmentation

Action Recognition

Bounding Box

Point Key Point

Text Generation

Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented professional with hands-on experience in data annotation, labeling, and content evaluation for AI-related projects. My background in Epidemiology and Medical Statistics has given me a strong foundation in analytical reasoning, data validation, and structured evaluation. I have worked on tasks involving text and image annotation, content relevance assessments, and quality assurance, consistently maintaining high accuracy and attention to detail. I am proficient in following complex guidelines, using digital tools like Google Workspace and online annotation platforms, and adapting quickly to evolving project requirements. I am comfortable working independently in remote settings and am committed to delivering high-quality training data for AI models.

Labeling Experience

hedgehog

OtherImageBounding BoxPoint Key Point

Contributing to an ongoing image-based data labeling project focused on improving AI and multimodal AI performance. Responsibilities include annotating images using precise labeling techniques such as bounding boxes and classification to identify relevant objects and visual elements. Ensuring high accuracy, consistency, and adherence to project guidelines to produce quality training data for model fine-tuning and evaluation. Maintaining attention to detail and meeting quality standards in a continuous production environment.

Contributing to an ongoing image-based data labeling project focused on improving AI and multimodal AI performance. Responsibilities include annotating images using precise labeling techniques such as bounding boxes and classification to identify relevant objects and visual elements. Ensuring high accuracy, consistency, and adherence to project guidelines to produce quality training data for model fine-tuning and evaluation. Maintaining attention to detail and meeting quality standards in a continuous production environment.

2025

Atlas

CrowdsourceVideoSegmentationAction Recognition

This project involves reviewing videos and coding the action in each segment with clear, accurate descriptions. You must identify distinct activities, assign precise action labels based only on visible behavior, and follow annotation guidelines carefully. The goal is to produce consistent, high-quality data that helps improve AI systems’ understanding of human actions.

This project involves reviewing videos and coding the action in each segment with clear, accurate descriptions. You must identify distinct activities, assign precise action labels based only on visible behavior, and follow annotation guidelines carefully. The goal is to produce consistent, high-quality data that helps improve AI systems’ understanding of human actions.

2024 - 2025

Education

Work History