Evans Mutwiri

Key Skills

Software

Label Studio

CVAT

Top Subject Matter

Sentiment Analysis

Ai/ml Domain Expertise

Object Recognition

Top Data Types

Text

Image

Document

Top Task Types

Classification

Object Detection

Freelancer Overview

AI Data Labeler (Text Annotation). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and CVAT. Education includes Bachelor of Education, Your University Name (2016). AI-training focus includes data types such as Text and Image and labeling workflows including Classification and Object Detection.

Labeling Experience

AI Data Labeler (Image Annotation)

CVATImageObject Detection

I labeled image datasets based on object recognition categories for use in computer vision model training. The process followed strict annotation guidelines to ensure consistency across all samples. Quality assurance checks were routinely performed to guarantee high accuracy. • Annotated various objects in images • Maintained consistency with guidelines • Supported computer vision model improvements • Used annotation platforms for image labeling

I labeled image datasets based on object recognition categories for use in computer vision model training. The process followed strict annotation guidelines to ensure consistency across all samples. Quality assurance checks were routinely performed to guarantee high accuracy. • Annotated various objects in images • Maintained consistency with guidelines • Supported computer vision model improvements • Used annotation platforms for image labeling

2022 - Present

AI Data Labeler (Text Annotation)

Label StudioTextClassification

I annotated 500+ text samples for sentiment classification tasks, supporting AI model training and evaluation. These labels included sentiment classes such as positive, negative, and neutral. Consistency was ensured by strict adherence to set annotation guidelines. • Labeled text data for sentiment analysis • Followed a well-defined annotation protocol • Delivered high-quality labeled datasets • Annotations supported AI/ML development

I annotated 500+ text samples for sentiment classification tasks, supporting AI model training and evaluation. These labels included sentiment classes such as positive, negative, and neutral. Consistency was ensured by strict adherence to set annotation guidelines. • Labeled text data for sentiment analysis • Followed a well-defined annotation protocol • Delivered high-quality labeled datasets • Annotations supported AI/ML development

2022 - Present

Education

Work History