Charles Wambua

Key Skills

Software

Labelbox

Sama

CVAT

Top Subject Matter

LLM Data

Conversational AI

Generative AI

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Bounding Box

Segmentation

Freelancer Overview

AI Training Specialist and Data Annotator (Freelance and Remote). Core strengths include Labelbox, Sama, and CVAT. Education includes Certificate in Introduction to Artificial Intelligence, Samasource (2020) and Certificate in Automotive Technology, Eastlands College of Technology (2020). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF, Bounding Box, and Segmentation.

Labeling Experience

AI Training Specialist and Data Annotator (Freelance and Remote)

CVATImageSegmentation

I performed detailed image and video segmentation using CVAT as part of computer vision training for wearable technology and autonomous systems. This work required precise annotation, labeling, and support for multi-modal datasets. My contributions were crucial for training robust computer vision models. • Utilized CVAT for precise image/video annotation • Supported computer vision and wearable tech initiatives • Ensured accuracy in multi-modal data labeling • Delivered consistent and detailed segmentation on large datasets.

I performed detailed image and video segmentation using CVAT as part of computer vision training for wearable technology and autonomous systems. This work required precise annotation, labeling, and support for multi-modal datasets. My contributions were crucial for training robust computer vision models. • Utilized CVAT for precise image/video annotation • Supported computer vision and wearable tech initiatives • Ensured accuracy in multi-modal data labeling • Delivered consistent and detailed segmentation on large datasets.

2020 - Present

AI Training Specialist and Data Annotator (Freelance and Remote)

LabelboxTextRLHF

In this role, I specialized in Swahili and English Large Language Model (LLM) data editing and reinforcement learning from human feedback (RLHF) for Agentic AI and Meta Smart Glasses projects. I performed response editing, intent classification, and conversational accuracy tasks to improve generative models. I also optimized datasets for search engine and AI retrieval tasks. • Edited and reviewed LLM data for safety, toxicity, and fluency • Executed RLHF tasks to enhance generative models • Conducted edge-case analysis to identify and correct inconsistencies • Developed strategies to balance human readability and machine learning requirements.

In this role, I specialized in Swahili and English Large Language Model (LLM) data editing and reinforcement learning from human feedback (RLHF) for Agentic AI and Meta Smart Glasses projects. I performed response editing, intent classification, and conversational accuracy tasks to improve generative models. I also optimized datasets for search engine and AI retrieval tasks. • Edited and reviewed LLM data for safety, toxicity, and fluency • Executed RLHF tasks to enhance generative models • Conducted edge-case analysis to identify and correct inconsistencies • Developed strategies to balance human readability and machine learning requirements.

2020 - Present

Data Annotator (Samasource)

SamaImageBounding Box

At Samasource, I conducted image and text data annotation for international automotive and technology sector clients. My primary focus was on categorization and applying bounding boxes to large-scale datasets. I collaborated closely with Quality Assurance to enhance annotation guidelines and throughput. • Completed extensive annotation and quality review tasks • Managed large-scale image and text datasets • Maintained high throughput and accuracy benchmarks • Iterated on guidelines with QA teams for improved training efficiency.

At Samasource, I conducted image and text data annotation for international automotive and technology sector clients. My primary focus was on categorization and applying bounding boxes to large-scale datasets. I collaborated closely with Quality Assurance to enhance annotation guidelines and throughput. • Completed extensive annotation and quality review tasks • Managed large-scale image and text datasets • Maintained high throughput and accuracy benchmarks • Iterated on guidelines with QA teams for improved training efficiency.

2020 - 2022

Education

Work History