Nicole Best

Key Skills

Software

Appen

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Deep Systems

Labelbox

Label Studio

Lionbridge

Mindrift

OneForma

Remotasks

Scale AI

Surge AI

Toloka

Telus

Trilldata Technologies

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Evaluation Rating

Text Generation

Freelancer Overview

Resourceful and results-driven AI Data Annotation Specialist with a strong foundation in civil engineering and over 4 years’ experience supporting AI training initiatives across computer vision, natural language processing, and geospatial analytics. Highly skilled in 3D/LiDAR data annotation, satellite imagery classification, and multilingual text labeling, contributing to the development of accurate, high-performing AI systems. Proven track record in delivering high-quality labeled datasets for applications in autonomous driving, infrastructure planning, and environmental monitoring. Adept at working with leading annotation tools such as CVAT, Labelbox, AWS SageMaker, and proprietary CAD-based platforms. Fluent in English, French, German, and Swahili, enabling seamless collaboration on global AI projects. Recognized for precision, adaptability, and ability to meet strict quality and deadline requirements in both individual and team settings.

Labeling Experience

Image & Video Annotation for Object Detection

TolokaVideoBounding BoxSegmentation

Created and localized datasets in English, French, German, and Swahili for multilingual AI systems. Ensured linguistic accuracy, cultural context relevance, and maintained consistent terminology across large datasets for global AI product deployment.

Created and localized datasets in English, French, German, and Swahili for multilingual AI systems. Ensured linguistic accuracy, cultural context relevance, and maintained consistent terminology across large datasets for global AI product deployment.

2023

Multilingual Text Annotation & LLM Evaluation

TelusTextClassificationTranslation Localization

Annotated, reviewed, and evaluated AI-generated text in English, French, German, and Swahili for grammar, tone, factual accuracy, and cultural relevance. Tagged datasets for supervised fine-tuning (SFT) of LLMs and provided high-quality multilingual training data for AI chatbots and content generation systems.

Annotated, reviewed, and evaluated AI-generated text in English, French, German, and Swahili for grammar, tone, factual accuracy, and cultural relevance. Tagged datasets for supervised fine-tuning (SFT) of LLMs and provided high-quality multilingual training data for AI chatbots and content generation systems.

2023

Geospatial Imagery Classification for Infrastructure Planning

TolokaGeospatial Tiled ImageryPolygonPolyline

Mapped and classified satellite imagery to identify buildings, roads, vegetation, and water bodies. Used polygon and polyline tools for accurate geographic feature extraction. Data was integrated into GIS-based AI systems to support infrastructure development and environmental monitoring projects.

Mapped and classified satellite imagery to identify buildings, roads, vegetation, and water bodies. Used polygon and polyline tools for accurate geographic feature extraction. Data was integrated into GIS-based AI systems to support infrastructure development and environmental monitoring projects.

2023 - 2023

3D LiDAR Annotation for Autonomous Vehicles

CVAT3D SensorCuboidClassification

Annotated LiDAR point cloud datasets using cuboid labeling to identify vehicles, pedestrians, and infrastructure elements for autonomous driving AI models. Ensured dataset quality through iterative reviews and compliance with strict annotation guidelines. Contributed to high-precision training data for advanced computer vision applications.

Annotated LiDAR point cloud datasets using cuboid labeling to identify vehicles, pedestrians, and infrastructure elements for autonomous driving AI models. Ensured dataset quality through iterative reviews and compliance with strict annotation guidelines. Contributed to high-precision training data for advanced computer vision applications.

2023 - 2023

Education

Work History