James Gititi

Key Skills

Software

AWS SageMaker

Anno-Mage

Clickworker

CrowdSource

CVAT

Data Annotation Tech

Google Cloud Vertex AI

Img Lab

Labelbox

Label Studio

Prodigy

Remotasks

Roboflow

Scale AI

Surge AI

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Medical Dicom

Text

Top Label Types

Bounding Box

Classification

Cuboid

Data Collection

Land Cover Classification

Mapping

Object Detection

Polygon

Segmentation

Text Generation

Text Summarization

Tracking

Freelancer Overview

I am a detail-oriented AI data annotator and data labeling specialist with hands-on experience supporting machine learning and AI model training through accurate text and image annotation, content review, and quality assurance. I have worked on global freelance platforms such as Fiverr, Upwork, and Remotasks, consistently delivering high-quality results while following complex annotation guidelines. My expertise includes text and image labeling, AI response evaluation for large language models, data classification, and maintaining accuracy across large datasets. I am proficient with annotation dashboards, Google Sheets, Microsoft Excel, AWS SageMaker, Argilla,CVAT, Dataloop,Datasaur, Datature, Encord, Kili Technology, Labelbox, Label Studio, Prodigy, Roboflow, Scale AI, Snorkel AI, SuperAnnotate, Supervisely, Surge AI, V7 Lab, Internal/Proprietary Tooling, and I thrive in remote, deadline-driven environments that require precision and reliability.

Labeling Experience

AI Data Annotator / AI Training Contributor

RoboflowImageBounding BoxClassification

Worked on AI training and data annotation projects involving text labeling, content classification, and quality review. Evaluated and categorized datasets based on detailed annotation guidelines to support machine learning model training. Maintained accuracy and consistency across large volumes of tasks while meeting platform quality thresholds. Performed validation and correction of mislabeled data to improve overall dataset quality.

Worked on AI training and data annotation projects involving text labeling, content classification, and quality review. Evaluated and categorized datasets based on detailed annotation guidelines to support machine learning model training. Maintained accuracy and consistency across large volumes of tasks while meeting platform quality thresholds. Performed validation and correction of mislabeled data to improve overall dataset quality.

2023

Education

Work History