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Hi there! I am a detail-oriented Image Annotation Specialist with a track record of labeling, classifying, and reviewing visual data across diverse projects. I excel at following complex guidelines, maintaining high throughput, and delivering quality datasets. I thrive in remote work environments, staying organized and communicative across time zones. I bring strong self-management, clear communication, and disciplined work habits to ensure on-time delivery of annotated datasets while upholding project guidelines and dataset integrity.…Hi there! I am a detail-oriented Image Annotation Specialist with a track record of labeling, classifying, and reviewing visual data across diverse projects. I excel at following complex guidelines, maintaining high throughput, and delivering quality datasets. I thrive in remote work environments, staying organized and communicative across time zones. I bring strong self-management, clear communication, and disciplined work habits to ensure on-time delivery of annotated datasets while upholding project guidelines and dataset integrity.

Martin Moenga

Data Analyst, AI Engineer, Data Annotator, +1

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Hi there! I am a detail-oriented Image Annotation Specialist with a track record of labeling, classifying, and reviewing visual data across diverse projects. I excel at following complex guidelines, maintaining high throughput, and delivering quality datasets. I thrive in remote work environments, staying organized and communicative across time zones. I bring strong self-management, clear communication, and disciplined work habits to ensure on-time delivery of annotated datasets while upholding project guidelines and dataset integrity.…Hi there! I am a detail-oriented Image Annotation Specialist with a track record of labeling, classifying, and reviewing visual data across diverse projects. I excel at following complex guidelines, maintaining high throughput, and delivering quality datasets. I thrive in remote work environments, staying organized and communicative across time zones. I bring strong self-management, clear communication, and disciplined work habits to ensure on-time delivery of annotated datasets while upholding project guidelines and dataset integrity.

Available to hire

Hi there! I am a detail-oriented Image Annotation Specialist with a track record of labeling, classifying, and reviewing visual data across diverse projects. I excel at following complex guidelines, maintaining high throughput, and delivering quality datasets.

I thrive in remote work environments, staying organized and communicative across time zones. I bring strong self-management, clear communication, and disciplined work habits to ensure on-time delivery of annotated datasets while upholding project guidelines and dataset integrity.

Skills

Experience Level

Expert

Intermediate

Intermediate

Intermediate

Intermediate

DaVinci Resolve Studio

Intermediate

Final Cut Pro X

Intermediate

Language

English

Fluent

Swahili

Fluent

Work Experience

Freelance Image Annotation Specialist at Independent Contractor

January 1, 2022 - Present

Remote role annotating over 50,000+ images across object detection, image classification, and semantic segmentation for clients in e-commerce, autonomous vehicles, and medical imaging. Used CVAT and Labelbox to draw bounding boxes, polygons, and keypoints with accuracy above 98%. Reviewed peer annotations to ensure dataset integrity and provided structured feedback. Collaborated with remote project managers via Slack and email, adapting to evolving labeling guidelines and delivering batch outputs on schedule. Labeled multi-class datasets including pedestrians, vehicles, road signs, and traffic infrastructure for autonomous driving model training.

Data Annotation Contributor at Crowdsourced AI Data Projects

January 1, 2021 - December 31, 2022

Participated in structured annotation campaigns for NLP and computer vision datasets, tagging and verifying thousands of image samples per sprint. Applied detailed ontologies and labeling schemas to classify objects, animals, and scene contexts in natural image datasets. Maintained consistent annotation quality by cross-referencing project instructions and calibration sessions. Delivered annotated outputs within tight turnaround periods while maintaining low error rates across multiple simultaneous projects.

Image Tagger & Dataset Reviewer at Academic Research Assistant – University of Nairobi

January 1, 2020 - December 31, 2021

Assisted a university research team in building a labeled image dataset for a computer vision project on urban scene understanding. Manually tagged and categorized over 8,000 street-level images using custom annotation tools, applying consistent labeling conventions. Conducted dataset audits to remove duplicate or low-quality samples, improving overall dataset quality for model training.