Obama Nyagiro

Key Skills

Software

Labelbox

Other

Top Subject Matter

General AI/ML datasets

NLP/Text data for logistics

Top Data Types

Image

Text

Top Task Types

Bounding Box

Entity Ner Classification

Freelancer Overview

AI Data Labeller at Mindrift.ai. Core strengths include Labelbox and Other. Education includes Bachelor of Science, Kenyatta University (2024). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Entity (NER) Classification.

Labeling Experience

AI Data Labeller at Mindrift.ai

LabelboxImageBounding Box

In this role, I annotated large datasets, covering images, text, and audio for a variety of supervised machine learning projects. I applied bounding boxes, polygons, and segmentation techniques to label visual data while ensuring accuracy. I collaborated with data scientists to refine guidelines and maintained high productivity standards. • Used Labelbox, CVAT, and Supervisely platforms to accomplish annotation tasks. • Conducted quality checks to ensure all annotated datasets met strict accuracy standards. • Communicated regularly with engineers to clarify requirements and guidelines. • Managed tight deadlines while maintaining efficiency and consistency.

In this role, I annotated large datasets, covering images, text, and audio for a variety of supervised machine learning projects. I applied bounding boxes, polygons, and segmentation techniques to label visual data while ensuring accuracy. I collaborated with data scientists to refine guidelines and maintained high productivity standards. • Used Labelbox, CVAT, and Supervisely platforms to accomplish annotation tasks. • Conducted quality checks to ensure all annotated datasets met strict accuracy standards. • Communicated regularly with engineers to clarify requirements and guidelines. • Managed tight deadlines while maintaining efficiency and consistency.

2025 - Present

Data Annotation Intern at Afrilogistics company

OtherTextEntity Ner Classification

As a Data Annotation Intern, I assisted in labeling text datasets for natural language processing (NLP) applications. I supported senior labellers in reviewing and correcting annotation errors. This experience provided practical exposure to annotation platforms and workflow organization. • Worked on entity recognition and classification for text data. • Utilized popular internal annotation tools under expert supervision. • Ensured workflow management and quality control during dataset review cycles. • Enhanced labeling consistency and reliability for downstream AI models.

As a Data Annotation Intern, I assisted in labeling text datasets for natural language processing (NLP) applications. I supported senior labellers in reviewing and correcting annotation errors. This experience provided practical exposure to annotation platforms and workflow organization. • Worked on entity recognition and classification for text data. • Utilized popular internal annotation tools under expert supervision. • Ensured workflow management and quality control during dataset review cycles. • Enhanced labeling consistency and reliability for downstream AI models.

2024 - 2024

Education

Work History