Angela Wafula

Key Skills

Software

Labelbox

Clickworker

Appen

CloudFactory

Lionbridge

OneForma

Remotasks

SuperAnnotate

Telus

Top Subject Matter

General AI/ML training data

Internal AI/ML datasets

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Classification

Text Generation

Computer Programming Coding

Evaluation Rating

Freelancer Overview

Data Annotation & AI Intern. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Science, Nairobi Technical University (2021). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

ICT Support Specialist – AI Workflow & Annotation Duties

LabelboxTextClassification

As an ICT Support Specialist, I managed and validated datasets for internal AI projects, focusing on accuracy and compliance with data security protocols. My responsibilities included refining annotation and labeling guidelines to enhance the quality of model training. I also contributed to automating data processing and supported quality assurance processes for labeled data. • Ensured dataset accuracy and integrity for machine learning workflows • Helped define best practices for labeling consistency and process improvement • Participated in QA review cycles for annotated data • Developed Python scripts to automate data validation steps

As an ICT Support Specialist, I managed and validated datasets for internal AI projects, focusing on accuracy and compliance with data security protocols. My responsibilities included refining annotation and labeling guidelines to enhance the quality of model training. I also contributed to automating data processing and supported quality assurance processes for labeled data. • Ensured dataset accuracy and integrity for machine learning workflows • Helped define best practices for labeling consistency and process improvement • Participated in QA review cycles for annotated data • Developed Python scripts to automate data validation steps

2021 - Present

Data Annotation & AI Intern

LabelboxTextClassification

As a Data Annotation & AI Intern, I labeled and annotated large datasets including text, images, and audio for machine learning projects. I utilized Python scripts and industry-standard annotation tools to validate dataset quality and consistency. Close collaboration with data scientists ensured optimal labeling workflows and improved AI model performance. • Annotated data for multiple data types as part of supervised learning projects • Developed and applied scripts to check data integrity and validation • Applied annotation guidelines to ensure consistent, high-quality label output • Supported project teams with data cleaning and preprocessing activities

As a Data Annotation & AI Intern, I labeled and annotated large datasets including text, images, and audio for machine learning projects. I utilized Python scripts and industry-standard annotation tools to validate dataset quality and consistency. Close collaboration with data scientists ensured optimal labeling workflows and improved AI model performance. • Annotated data for multiple data types as part of supervised learning projects • Developed and applied scripts to check data integrity and validation • Applied annotation guidelines to ensure consistent, high-quality label output • Supported project teams with data cleaning and preprocessing activities

2020 - 2020

Education

Work History