Key Skills

Software

Scale AI

Remotasks

Appen

Top Subject Matter

Computer Vision

Autonomous Driving/Computer Vision

Computer Vision and NLP

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Segmentation

Classification

Freelancer Overview

AI Data Annotator & Trainer – Scale AI. Core strengths include Scale AI, Remotasks, and Appen. Education includes Bachelor of Engineering, Moi University. AI-training focus includes data types such as Image and labeling workflows including Bounding Box, Segmentation, and Classification.

Labeling Experience

AI Data Annotator & Trainer – Scale AI

Scale AIImageBounding Box

As an AI Data Annotator & Trainer at Scale AI, I annotated large-scale image datasets for computer vision models, handling tasks such as object detection and segmentation. I performed detailed bounding box, polygon, and semantic segmentation labeling to ensure high dataset accuracy. My role included quality assurance and training junior annotators to follow guidelines. • Managed annotation projects focused on object detection and segmentation • Upheld 98%+ annotation quality through rigorous QA • Utilized diverse annotation techniques including polygons and semantic segmentation • Collaborated with AI engineers to enhance dataset quality

As an AI Data Annotator & Trainer at Scale AI, I annotated large-scale image datasets for computer vision models, handling tasks such as object detection and segmentation. I performed detailed bounding box, polygon, and semantic segmentation labeling to ensure high dataset accuracy. My role included quality assurance and training junior annotators to follow guidelines. • Managed annotation projects focused on object detection and segmentation • Upheld 98%+ annotation quality through rigorous QA • Utilized diverse annotation techniques including polygons and semantic segmentation • Collaborated with AI engineers to enhance dataset quality

2024 - Present

AI Image Labeling Specialist – Remotasks

RemotasksImageSegmentation

At Remotasks, I served as an AI Image Labeling Specialist, focusing on image and video annotation for autonomous vehicle datasets. I labeled objects including pedestrians, vehicles, and road elements using advanced annotation tools. Strict annotation guidelines were followed to guarantee cross-dataset consistency. • Completed large volumes of image and video annotations for self-driving AI • Specialized in object labeling and segmentation for transportation content • Maintained high efficiency while ensuring label accuracy • Applied annotation guidelines rigorously to all labeling tasks

At Remotasks, I served as an AI Image Labeling Specialist, focusing on image and video annotation for autonomous vehicle datasets. I labeled objects including pedestrians, vehicles, and road elements using advanced annotation tools. Strict annotation guidelines were followed to guarantee cross-dataset consistency. • Completed large volumes of image and video annotations for self-driving AI • Specialized in object labeling and segmentation for transportation content • Maintained high efficiency while ensuring label accuracy • Applied annotation guidelines rigorously to all labeling tasks

2023 - 2023

Data Annotation Specialist – Appen

AppenImageClassification

While working as a Data Annotation Specialist at Appen, I annotated datasets for both computer vision and NLP-focused AI projects. I contributed to the accuracy and structure of labeled data through rigorous reviews and validation. My responsibilities extended to participating in data cleaning and pipeline structuring for machine learning. • Provided feedback to improve annotation processes and guidelines • Validated and reviewed label quality for ML projects • Cleaned datasets to support supervised learning • Worked with both image and text for annotation quality sustainment

While working as a Data Annotation Specialist at Appen, I annotated datasets for both computer vision and NLP-focused AI projects. I contributed to the accuracy and structure of labeled data through rigorous reviews and validation. My responsibilities extended to participating in data cleaning and pipeline structuring for machine learning. • Provided feedback to improve annotation processes and guidelines • Validated and reviewed label quality for ML projects • Cleaned datasets to support supervised learning • Worked with both image and text for annotation quality sustainment

2022 - 2023

Education

Work History