Clinton Nyambega

Key Skills

Software

Labelbox

Supervisely

CVAT

Prodigy

AWS SageMaker

Top Subject Matter

AI and Machine Learning Model Training

NLP and Computer Vision

Top Data Types

Text

Image

Audio

Video

Top Task Types

Classification

Freelancer Overview

Freelance Data Labeling Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Supervisely, and CVAT. Education includes High School Diploma, Nairobi School (2018) and Certificate, Strathmore University (2020). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification.

Labeling Experience

Freelance Data Labeling Specialist

LabelboxTextClassification

As a Freelance Data Labeling Specialist, I annotated datasets across text, image, audio, and video formats for AI and machine learning models. I ensured accuracy and consistency in annotations and maintained detailed documentation of protocols. My responsibilities also included reviewing and providing feedback to improve labeling guidelines. • Prepared and labeled large, high-quality datasets for various AI applications. • Utilized tools such as Labelbox, Supervisely, CVAT, Prodigy, and Amazon SageMaker Ground Truth. • Managed multiple projects concurrently, delivering timely results. • Collaborated with AI teams to refine guidelines and processes.

As a Freelance Data Labeling Specialist, I annotated datasets across text, image, audio, and video formats for AI and machine learning models. I ensured accuracy and consistency in annotations and maintained detailed documentation of protocols. My responsibilities also included reviewing and providing feedback to improve labeling guidelines. • Prepared and labeled large, high-quality datasets for various AI applications. • Utilized tools such as Labelbox, Supervisely, CVAT, Prodigy, and Amazon SageMaker Ground Truth. • Managed multiple projects concurrently, delivering timely results. • Collaborated with AI teams to refine guidelines and processes.

2022 - Present

Data Annotation Intern / Trainee

LabelboxTextClassification

During my Data Annotation Intern / Trainee position, I annotated data for NLP and computer vision projects. My focus was on maintaining dataset quality and applying best practices in annotation workflows. I developed speed and accuracy through hands-on experience using various tools. • Labeled large-scale datasets for NLP and visual recognition use cases. • Ensured consistency and high standards of dataset preparation. • Applied annotation techniques as per project requirements. • Gained practical experience with leading annotation software.

During my Data Annotation Intern / Trainee position, I annotated data for NLP and computer vision projects. My focus was on maintaining dataset quality and applying best practices in annotation workflows. I developed speed and accuracy through hands-on experience using various tools. • Labeled large-scale datasets for NLP and visual recognition use cases. • Ensured consistency and high standards of dataset preparation. • Applied annotation techniques as per project requirements. • Gained practical experience with leading annotation software.

2021 - 2022

Education

Work History