Open to opportunities

Martin Moenga

@martinmoenga

Message

Detail-oriented image annotation specialist delivering high-accuracy labeled datasets.

Kenya

Message

What I'm looking for

I seek remote roles labeling and QA'ing large-scale image datasets, where I can apply precise annotation skills, follow complex guidelines, and contribute to model-ready data while collaborating with distributed teams.

I am a meticulous Image Annotation Specialist with extensive experience labeling, classifying, and reviewing visual data for e-commerce, autonomous vehicles, and medical imaging projects. I consistently maintain accuracy rates above 98% while handling large volumes and tight deadlines.

I have worked remotely and collaboratively with project managers using tools like CVAT, Labelbox, and the Scale AI platform, delivering multi-thousand image batches ahead of schedule and adapting quickly to evolving guidelines. I also contributed to an academic computer vision dataset used in published research at the University of Nairobi.

My strengths include semantic segmentation, bounding-box and polygon markup, dataset verification, and quality assurance, supported by disciplined remote work practices and strong communication to ensure dataset integrity.

Experience

Work history, roles, and key accomplishments

Current

Image Annotation Specialist

Current

Independent Contractor

Jan 2022 - Present (4 years 2 months)

Annotated over 50,000 images for object detection, classification, and semantic segmentation across e-commerce, autonomous driving, and medical imaging, maintaining accuracy above 98% and delivering batches ahead of deadlines.

Bounding Boxes CVAT Labelbox Data Quality Assurance

Data Annotation Contributor

Crowdsourced AI Data Projects

Jan 2021 - Jan 2022 (1 year)

Participated in structured annotation campaigns for NLP and computer vision, tagging and verifying thousands of images per sprint while maintaining low error rates and meeting tight turnarounds.

Quality Assurance Remote Collaboration

Image Tagger & Dataset Reviewer

University of Nairobi

Jan 2020 - Jan 2021 (1 year)

Tagged and reviewed over 8,000 street-level images for an urban scene understanding research project, conducted dataset audits to remove low-quality samples and improve training data quality.

Data Auditing Data Cleaning Research Collaboration

Education

Degrees, certifications, and relevant coursework

University of Nairobi

Image Annotation / Computer Vision

Activities and societies: Academic research assistant on an urban scene understanding project; dataset tagging, quality audits, and annotation tool use.

Assisted a university research team in building and reviewing a labeled image dataset for an urban scene understanding project, manually tagging over 8,000 images and conducting dataset audits to improve quality.