Aaron Echosit

Key Skills

Software

Labelbox

AWS SageMaker

Top Subject Matter

Banking and Financial Services

Cloud Infrastructure Monitoring

Software Engineering

Top Data Types

Text

Document

Image

Top Task Types

Classification

Text Generation

Freelancer Overview

Data Labelling Specialist / AI Data Annotator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and AWS SageMaker. Education includes Bachelor of Science, University of Nairobi. AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Labelling Specialist / AI Data Annotator

LabelboxTextClassification

I specialized in annotating and labeling mission-critical financial datasets for AI/ML model training and validation. My primary responsibilities included data annotation for various banking and financial services tasks, reducing licensing costs, and ensuring high uptime. Leveraging Labelbox, Scale AI, and AWS SageMaker, I maintained rigorous data quality standards across all annotation projects. • Annotated financial documents and transactional data to support machine learning model development. • Utilized Labelbox and Scale AI for large-scale dataset management. • Adhered to strict quality assurance and bias detection protocols. • Coordinated with cross-functional teams to optimize labeled data for production environments.

I specialized in annotating and labeling mission-critical financial datasets for AI/ML model training and validation. My primary responsibilities included data annotation for various banking and financial services tasks, reducing licensing costs, and ensuring high uptime. Leveraging Labelbox, Scale AI, and AWS SageMaker, I maintained rigorous data quality standards across all annotation projects. • Annotated financial documents and transactional data to support machine learning model development. • Utilized Labelbox and Scale AI for large-scale dataset management. • Adhered to strict quality assurance and bias detection protocols. • Coordinated with cross-functional teams to optimize labeled data for production environments.

2024 - Present

Data Annotation Support (Cloud Infrastructure Project)

Aws SagemakerTextClassification

Contributed to data annotation and quality improvement tasks in ML model workflows for cloud infrastructure monitoring and drift detection. Labeled and validated cloud event logs and system alerts to refine detection algorithms for infrastructure resilience. Implemented data quality controls and annotation best practices using AWS SageMaker and Labelbox. • Supported annotation and validation for ML-driven infrastructure observability. • Performed classification on event log and alert datasets using cloud-based annotation platforms. • Ensured consistency and high quality in all labeled data assets. • Collaborated with DevOps and ML teams to align annotation efforts with deployment cycles.

Contributed to data annotation and quality improvement tasks in ML model workflows for cloud infrastructure monitoring and drift detection. Labeled and validated cloud event logs and system alerts to refine detection algorithms for infrastructure resilience. Implemented data quality controls and annotation best practices using AWS SageMaker and Labelbox. • Supported annotation and validation for ML-driven infrastructure observability. • Performed classification on event log and alert datasets using cloud-based annotation platforms. • Ensured consistency and high quality in all labeled data assets. • Collaborated with DevOps and ML teams to align annotation efforts with deployment cycles.

2024 - 2024

Education

Work History