Dominic Mutisya

Key Skills

Software

Labelbox

Top Subject Matter

General AI/ML dataset annotation (image, text, and spatial data)

Text data annotation for machine learning models

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Entity Ner Classification

Transcription

Text Summarization

Question Answering

Freelancer Overview

Data Annotation Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Science, University of Eldoret (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Entity (NER) Classification.

Labeling Experience

Data Annotation Specialist

LabelboxImageBounding Box

As a Data Annotation Specialist, I annotated and validated large image, text, and spatial datasets for AI training. My primary focus was on ensuring data accuracy, adhering to strict project guidelines, and performing validation tasks. I consistently maintained high standards of quality through diligent review and assessment of annotated data. • Annotated images, text, and spatial data using platforms such as Labelbox, CVAT, and Supervisely. • Evaluated AI-generated responses and participated in human-in-the-loop review processes. • Ensured over 98% accuracy and timely completion of assigned annotation tasks. • Collaborated remotely while following project documentation and feedback protocols.

As a Data Annotation Specialist, I annotated and validated large image, text, and spatial datasets for AI training. My primary focus was on ensuring data accuracy, adhering to strict project guidelines, and performing validation tasks. I consistently maintained high standards of quality through diligent review and assessment of annotated data. • Annotated images, text, and spatial data using platforms such as Labelbox, CVAT, and Supervisely. • Evaluated AI-generated responses and participated in human-in-the-loop review processes. • Ensured over 98% accuracy and timely completion of assigned annotation tasks. • Collaborated remotely while following project documentation and feedback protocols.

2022 - Present

Junior Data Analyst / Annotation Associate

LabelboxTextEntity Ner Classification

As a Junior Data Analyst and Annotation Associate, I supported data preprocessing and annotated textual datasets for machine learning models. My contributions included identifying inconsistencies and refining annotation protocols. I improved workflow efficiency by maintaining thorough documentation practices. • Annotated and classified entities within text for ML projects. • Assisted teams in developing accurate labeling guidelines and resolving ambiguities. • Documented annotation procedures and suggested workflow optimizations. • Focused on the accuracy and clarity of labeled data for downstream tasks.

As a Junior Data Analyst and Annotation Associate, I supported data preprocessing and annotated textual datasets for machine learning models. My contributions included identifying inconsistencies and refining annotation protocols. I improved workflow efficiency by maintaining thorough documentation practices. • Annotated and classified entities within text for ML projects. • Assisted teams in developing accurate labeling guidelines and resolving ambiguities. • Documented annotation procedures and suggested workflow optimizations. • Focused on the accuracy and clarity of labeled data for downstream tasks.

2021 - 2022

Education

Work History