Francis Anyaora

Key Skills

Software

CVAT

Dataloop

Encord

Labelbox

Label Studio

SuperAnnotate

Don't disclose

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Object Detection

Point/Key Point

Polygon

Segmentation

Freelancer Overview

Through self-induced learning, I honed my data annotation skills. With over six years of experience spanning administrative support, customer support, process optimization, and cross-functional collaboration, I have indirectly acquainted myself with all the concepts and best practices of data annotation. This includes a strong focus on maintaining accuracy, consistency, and quality. As one who is tech-savvy and well-grounded in several AI tools, I tutored myself on all the intricacies of CVAT to the extent of using it as a professional. My expertise lies in various kinds of data annotation tasks, such as image labeling, bounding boxes, key points and landmarks, lines and splines, semantic segmentation, and instance segmentation. Above all, what distinguishes me in all my jobs is my acute attention to minute details and strict adherence to annotation guidelines. You can count on me whenever complex segmentation is required.

Labeling Experience

Video Annotation Specialist

Don T DiscloseVideoAction Recognition

The goal of the project is to assist these foundational LLM companies in enhancing their large language models. The data serves two main purposes: first, as a basis for fine-tuning models, and second, as an evaluation set to benchmark the performance of models. The project required carefully annotating short video clips of robots performing various tasks. The annotations map robotic actions to human-readable descriptions, supporting the training and evaluation of LLMs for robotics and embodied AI systems.

The goal of the project is to assist these foundational LLM companies in enhancing their large language models. The data serves two main purposes: first, as a basis for fine-tuning models, and second, as an evaluation set to benchmark the performance of models. The project required carefully annotating short video clips of robots performing various tasks. The annotations map robotic actions to human-readable descriptions, supporting the training and evaluation of LLMs for robotics and embodied AI systems.

2025 - 2025

Data Annotation Specialist

CVATImageSegmentation

The project comprised hundreds of complex images depicting real estate buildings and their surroundings. The objective was to perform both semantic and instance segmentation on all the images using a predefined list of eleven labels. High quality was essential, with no overlapping pixels or unannotated pixels allowed.

The project comprised hundreds of complex images depicting real estate buildings and their surroundings. The objective was to perform both semantic and instance segmentation on all the images using a predefined list of eleven labels. High quality was essential, with no overlapping pixels or unannotated pixels allowed.

2024 - 2024

Education

Work History