Maximillan Kanyango

Key Skills

Software

CVAT

Labelbox

LabelImg

Supervisely

Top Subject Matter

PPE compliance and safety detection for computer vision

Image annotation and computer vision AI training

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Freelancer Overview

Freelance Data Annotation Specialist (Remote). Core strengths include CVAT, Labelbox, and LabelImg. Education includes Diploma, Coursera (2022). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Freelance Data Annotation Specialist

CVATImageBounding Box

As a Freelance Data Annotation Specialist, I annotated over 3,000 images for computer vision model training. I used bounding boxes and multi-class labeling techniques to ensure high-precision PPE compliance records. Quality assurance and strict guideline adherence were prioritized throughout the labeling process. • Processed datasets with over 3,000 images under tight 2–3 week deadlines. • Maintained annotation accuracy above 95% and consistently met project delivery targets. • Labeled images for hardhats, gloves, safety vests, and person detection across multiple classes. • Utilized CVAT, Labelbox, LabelImg, and Supervisely for annotation and dataset organization.

As a Freelance Data Annotation Specialist, I annotated over 3,000 images for computer vision model training. I used bounding boxes and multi-class labeling techniques to ensure high-precision PPE compliance records. Quality assurance and strict guideline adherence were prioritized throughout the labeling process. • Processed datasets with over 3,000 images under tight 2–3 week deadlines. • Maintained annotation accuracy above 95% and consistently met project delivery targets. • Labeled images for hardhats, gloves, safety vests, and person detection across multiple classes. • Utilized CVAT, Labelbox, LabelImg, and Supervisely for annotation and dataset organization.

2025 - Present

Voice Annotation

AudioEvaluation Rating

I have experience working on data annotation projects that require high precision and attention to detail, making me well-suited for developing an English singing voice synthesis corpus. I understand the importance of phoneme-level annotation with accurate start and end timestamps in milliseconds, as well as aligning pitch or musical note information with the audio. My background in data science and annotation has equipped me with the ability to handle structured datasets, follow detailed guidelines, and maintain consistency across large volumes of data. I am comfortable learning from reference frameworks such as GTSinger and can adapt quickly to project-specific requirements. I am also able to meet tight deadlines while ensuring high-quality output, making me a reliable contributor to this project.

I have experience working on data annotation projects that require high precision and attention to detail, making me well-suited for developing an English singing voice synthesis corpus. I understand the importance of phoneme-level annotation with accurate start and end timestamps in milliseconds, as well as aligning pitch or musical note information with the audio. My background in data science and annotation has equipped me with the ability to handle structured datasets, follow detailed guidelines, and maintain consistency across large volumes of data. I am comfortable learning from reference frameworks such as GTSinger and can adapt quickly to project-specific requirements. I am also able to meet tight deadlines while ensuring high-quality output, making me a reliable contributor to this project.

2024 - 2025

Data Labeling Assistant / AI Training Contributor

CVATImageBounding Box

As a Data Labeling Assistant and AI Training Contributor, I contributed to computer vision projects by applying bounding boxes and classification tags to image datasets. I ensured structured and accurate data outputs ready for machine learning pipelines. I also played a role in editing annotation guidelines for higher labeling consistency. • Labeled images involving object detection and classification for PPE use cases. • Collaborated on refining annotation standards with the project team. • Identified and resolved ambiguous label cases to improve data reliability. • Delivered datasets optimized for training computer vision models.

As a Data Labeling Assistant and AI Training Contributor, I contributed to computer vision projects by applying bounding boxes and classification tags to image datasets. I ensured structured and accurate data outputs ready for machine learning pipelines. I also played a role in editing annotation guidelines for higher labeling consistency. • Labeled images involving object detection and classification for PPE use cases. • Collaborated on refining annotation standards with the project team. • Identified and resolved ambiguous label cases to improve data reliability. • Delivered datasets optimized for training computer vision models.

2023 - 2023

Education

Work History