David Chege

Key Skills

Software

iMerit

Remotasks

Appen

CVAT

Labelbox

Top Subject Matter

AI/ML Model Training Data

Computer Vision

Video Surveillance

Top Data Types

Text

Video

Image

Document

Top Task Types

Classification

Bounding Box

Polygon

Segmentation

Object Detection

Transcription

Data Collection

Computer Programming Coding

Function Calling

RLHF

Text Generation

Polyline

Point Key Point

Freelancer Overview

Data Annotator – iMerit. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Video and image annotation, 3D, LiDAR, and polygon segmentation, experience with using CVAT, Labelbox, and in-house data labeling tools. Education includes a Certificate, PLP Academy (2025), and a Bachelor of Science, Mount Kenya University (2025). AI-training focus includes data types such as Text and Video, and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Labeller – Atlas Capture

VideoClassification

In the Data Labeller role at Atlas Capture, I focused on video data labeling and verification to enhance computer vision and AI workflows. I was responsible for handling large volumes of tasks while reducing error rates through attention to detail. Ongoing communication with project managers helped refine guidelines and improve overall dataset quality. • Labeled and verified video data for AI and computer vision tasks. • Reduced annotation errors and rework through careful task execution. • Met weekly productivity metrics in a remote team environment. • Worked independently to address guideline ambiguities and edge cases.

In the Data Labeller role at Atlas Capture, I focused on video data labeling and verification to enhance computer vision and AI workflows. I was responsible for handling large volumes of tasks while reducing error rates through attention to detail. Ongoing communication with project managers helped refine guidelines and improve overall dataset quality. • Labeled and verified video data for AI and computer vision tasks. • Reduced annotation errors and rework through careful task execution. • Met weekly productivity metrics in a remote team environment. • Worked independently to address guideline ambiguities and edge cases.

2025 - Present

Data Annotator – iMerit

ImeritTextClassification

As a Data Annotator at iMerit, I labeled and curated diverse datasets including text, image, and unstructured data to support AI and machine learning model development. I maintained high annotation quality on repetitive tasks while adapting to specific client guidelines and taxonomies. Collaboration with team leads and QA reviewers ensured the resolution of annotation discrepancies and adherence to deadlines. • Used internal and proprietary labeling tools for multiple annotation projects. • Adapted quickly to new workflows, edge cases, and evolving taxonomies. • Maintained high consistency and accuracy in labeling tasks. • Contributed to data preparation across various AI and ML domains.

As a Data Annotator at iMerit, I labeled and curated diverse datasets including text, image, and unstructured data to support AI and machine learning model development. I maintained high annotation quality on repetitive tasks while adapting to specific client guidelines and taxonomies. Collaboration with team leads and QA reviewers ensured the resolution of annotation discrepancies and adherence to deadlines. • Used internal and proprietary labeling tools for multiple annotation projects. • Adapted quickly to new workflows, edge cases, and evolving taxonomies. • Maintained high consistency and accuracy in labeling tasks. • Contributed to data preparation across various AI and ML domains.

2025 - Present

Content Curator – UHRS

Text

As a Content Curator for UHRS, I assessed and rated online search results, advertisements, and digital content. My work contributed directly to improving the quality of large-scale machine learning and relevance algorithms. I utilized platform-specific tools and followed detailed guidelines for content review, categorization, and selection. • Evaluated and categorized digital content for ML datasets. • Used UHRS tools for precise content rating and improvement. • Communicated guideline clarifications with project teams. • Managed multiple concurrent projects independently.

As a Content Curator for UHRS, I assessed and rated online search results, advertisements, and digital content. My work contributed directly to improving the quality of large-scale machine learning and relevance algorithms. I utilized platform-specific tools and followed detailed guidelines for content review, categorization, and selection. • Evaluated and categorized digital content for ML datasets. • Used UHRS tools for precise content rating and improvement. • Communicated guideline clarifications with project teams. • Managed multiple concurrent projects independently.

2024 - 2025

Data Annotator – Remotasks

RemotasksTextClassification

During my tenure as a Data Annotator at Remotasks, I annotated and labeled large volumes of text, image, and video data for AI/ML model training and evaluation. I closely followed project guidelines to ensure exceptional accuracy, consistency, and quality compliance. I performed quality checks on annotations and made corrections to boost dataset reliability. • Maintained high attention to detail to meet productivity targets. • worked across multiple datasets and domains as assigned. • Performed manual QA on all final annotations. • Adhered to tight deadlines in a remote work environment.

During my tenure as a Data Annotator at Remotasks, I annotated and labeled large volumes of text, image, and video data for AI/ML model training and evaluation. I closely followed project guidelines to ensure exceptional accuracy, consistency, and quality compliance. I performed quality checks on annotations and made corrections to boost dataset reliability. • Maintained high attention to detail to meet productivity targets. • worked across multiple datasets and domains as assigned. • Performed manual QA on all final annotations. • Adhered to tight deadlines in a remote work environment.

2023 - 2024

Education

Work History