Joseph Ngatia

Key Skills

Software

Clickworker

CloudFactory

CVAT

Data Annotation Tech

Labelbox

OneForma

Remotasks

Scale AI

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Cuboid

Data Collection

Polygon

Freelancer Overview

I am a multilingual AI data specialist with hands-on experience in text, image, and video annotation. My expertise spans transcription, translation, and prompt evaluation across English, French, German, and Swahili, making me adept at training AI systems to understand diverse languages and contexts. I have contributed to projects involving natural language processing, AI model evaluation, and high-quality dataset labeling, ensuring accuracy and consistency. My strong attention to detail, linguistic proficiency, and experience with multiple annotation tools enable me to deliver reliable, scalable results for AI training initiatives. Data Labeling/AI Training Experience: Annotated and transcribed multilingual text datasets for NLP and AI model training. Evaluated AI language models’ output quality, providing feedback to improve accuracy. Labeled images and video datasets for computer vision projects, ensuring precise object and scene recognition. Assisted in prompt testing and AI response evaluation for English, French, German, and Swahili datasets

Labeling Experience

Multimodal AI Dataset Annotation Specialist

Scale AIImageBounding BoxPolygon

Contributed to a global AI training project involving multimodal datasets including images, videos, audio, and 3D LiDAR point clouds. Responsibilities included annotating and segmenting 2D images and video frames, labeling objects using bounding boxes and polygons, performing audio transcription and multilingual text annotation, and segmenting 3D LiDAR point clouds for autonomous system datasets. Maintained strict quality control, ensuring high accuracy, consistency, and adherence to client guidelines. Assisted in AI model evaluation and prompt testing across English, French, German, and Swahili datasets, supporting NLP and computer vision projects.

Contributed to a global AI training project involving multimodal datasets including images, videos, audio, and 3D LiDAR point clouds. Responsibilities included annotating and segmenting 2D images and video frames, labeling objects using bounding boxes and polygons, performing audio transcription and multilingual text annotation, and segmenting 3D LiDAR point clouds for autonomous system datasets. Maintained strict quality control, ensuring high accuracy, consistency, and adherence to client guidelines. Assisted in AI model evaluation and prompt testing across English, French, German, and Swahili datasets, supporting NLP and computer vision projects.

2020 - 2023

Education

Work History