Michael Wekesa

Key Skills

Software

AWS SageMaker

Appen

CVAT

Datasaur

Doccano

Figure Eight

Google Cloud Vertex AI

LabelImg

Label Studio

Lionbridge

Remotasks

Roboflow

Scale AI

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Bounding Box

Emotion Recognition

Entity Ner Classification

Freelancer Overview

I am an AI training and data labeling professional with hands-on experience in text, image, and video annotation, as well as data preparation and quality assurance for machine learning projects. I began working on AI-related tasks in 2020, contributing to dataset collection, cleaning, classification, and annotation workflows, and supporting basic model evaluation for supervised learning projects. My work emphasizes accuracy, consistency, and adherence to detailed labeling guidelines. In 2023, I expanded into data analytics and video-focused projects, where I analyzed content performance, labeled visual and textual data, and optimized metadata for large volumes of digital media. I am proficient with tools such as CVAT, Label Studio, LabelImg, Roboflow, Doccano, and cloud platforms like AWS SageMaker and Google Vertex AI. My background in software development and analytics allows me to quickly adapt to proprietary annotation tools, perform QA checks, and collaborate effectively with distributed teams. I am detail-oriented, reliable, and well-suited for LLM evaluation, content moderation, and large-scale AI training tasks.

Labeling Experience

AI Data Labeling & Annotation Specialist – Image, Video, and Text

CVATImageBounding BoxPolygon

Executed multiple AI and data analytics projects involving large-scale image, video, and text datasets. Tasks included creating bounding boxes, keypoints, segmentation masks, object detection labels, and entity recognition for AI model training. Ensured high-quality annotations by following rigorous QA protocols, achieving consistent accuracy across datasets. Projects included video frame labeling for action recognition, image labeling for autonomous vehicle perception, and text data annotation for natural language models. Total data labeled exceeds 50,000+ items across diverse industries.

Executed multiple AI and data analytics projects involving large-scale image, video, and text datasets. Tasks included creating bounding boxes, keypoints, segmentation masks, object detection labels, and entity recognition for AI model training. Ensured high-quality annotations by following rigorous QA protocols, achieving consistent accuracy across datasets. Projects included video frame labeling for action recognition, image labeling for autonomous vehicle perception, and text data annotation for natural language models. Total data labeled exceeds 50,000+ items across diverse industries.

2020 - 2023

Data Annotation & Labeling Specialist – Image, Video, and Text

Scale AIVideoBounding BoxPolygon

Performed high-quality data labeling and annotation on image, video, and text datasets for AI and machine learning projects. Tasks included bounding boxes, polygon masks, key points, segmentation, object detection, and text entity recognition. Labeled thousands of items with strict adherence to guidelines and quality standards, contributing to improved AI model accuracy. Projects ranged from autonomous vehicle perception to video action recognition and natural language processing datasets.

Performed high-quality data labeling and annotation on image, video, and text datasets for AI and machine learning projects. Tasks included bounding boxes, polygon masks, key points, segmentation, object detection, and text entity recognition. Labeled thousands of items with strict adherence to guidelines and quality standards, contributing to improved AI model accuracy. Projects ranged from autonomous vehicle perception to video action recognition and natural language processing datasets.

2023

Education

Work History