Diana Auma

Key Skills

Software

AWS SageMaker

Appen

Clickworker

CloudFactory

Data Annotation Tech

Dataloop

Google Cloud Vertex AI

Humanatic

Labelbox

LabelImg

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Data Collection

Evaluation Rating

Freelancer Overview

I have a background in Statistics and computer programming, which has strengthened my ability to handle and analyze data accurately for AI training and data labeling projects. I’ve worked on labeling images, videos, and text for tasks such as object detection, self-driving car imagery, and language model evaluation. My statistical skills help me maintain high accuracy, consistency, and attention to detail when preparing datasets for machine learning. I’m experienced with tools like AWS SageMaker, Remotasks, and RWS TrainAI, and I’m committed to delivering reliable, high-quality data that supports effective AI model development.

Labeling Experience

Image Entity Tagging – Computer Vision Annotator

TelusImageBounding BoxPolygon

Tagged and classified multiple objects and entities within images for use in computer vision and machine learning systems. Ensured correct labeling through detailed quality checks and clear categorization. Used annotation tools to support object detection and recognition model training.

Tagged and classified multiple objects and entities within images for use in computer vision and machine learning systems. Ensured correct labeling through detailed quality checks and clear categorization. Used annotation tools to support object detection and recognition model training.

2025

Video and Text Rating – AI Evaluation Contributor

TelusVideoSegmentationClassification

Evaluated short videos and text samples to assess relevance, quality, and emotional tone. Provided structured feedback that improved AI understanding of human preferences and content ranking. Focused on maintaining consistency and accuracy in rating guidelines for multilingual datasets.

Evaluated short videos and text samples to assess relevance, quality, and emotional tone. Provided structured feedback that improved AI understanding of human preferences and content ranking. Focused on maintaining consistency and accuracy in rating guidelines for multilingual datasets.

2025 - 2025

Face Swap AI Project – Data Labeling Specialist

LabelboxImageBounding BoxSegmentation

Labeled and verified image datasets used to train face swap and recognition models. Tasks included identifying facial landmarks, annotating expressions, and ensuring dataset quality for accurate AI performance. Worked with image segmentation and bounding box tools to support computer vision model development.

Labeled and verified image datasets used to train face swap and recognition models. Tasks included identifying facial landmarks, annotating expressions, and ensuring dataset quality for accurate AI performance. Worked with image segmentation and bounding box tools to support computer vision model development.

2025 - 2025

Education

Work History