Elizabeth Mwendwa

Key Skills

Software

Labelbox

Scale AI

Prodigy

Top Subject Matter

General Object Recognition

General AI Label Quality Evaluation

Academic/Research Data Annotation

Top Data Types

Image

Top Task Types

Classification

Freelancer Overview

Data Labeling & Annotation Specialist. Core strengths include Labelbox, Scale AI, and Prodigy. Education includes Bachelor of Science, South Eastern Kenya University (2023). AI-training focus includes data types such as Image and labeling workflows including Classification, Evaluation, and Rating. Detail-oriented Data Labeling and AI Training Specialist with over 4 years of experience working on image annotation, classification, and data evaluation tasks. Proficient in tools such as Labelbox, Scale AI.

Labeling Experience

AI Content Evaluator

Scale AIImage

As an AI Content Evaluator, I reviewed AI outputs to ensure proper label alignment and high data quality. I detected inconsistencies, corrected errors, and applied robust evaluation criteria to improve model training data. My attention to detail helped guarantee the accuracy of labeled AI datasets. • Evaluated AI-created labels for accuracy and relevance. • Applied structured methods to identify and correct label errors. • Ensured data labeling met quality and consistency standards. • Provided feedback to improve future data annotation processes.

As an AI Content Evaluator, I reviewed AI outputs to ensure proper label alignment and high data quality. I detected inconsistencies, corrected errors, and applied robust evaluation criteria to improve model training data. My attention to detail helped guarantee the accuracy of labeled AI datasets. • Evaluated AI-created labels for accuracy and relevance. • Applied structured methods to identify and correct label errors. • Ensured data labeling met quality and consistency standards. • Provided feedback to improve future data annotation processes.

2023 - Present

Data Labeling & Annotation Specialist

LabelboxImageClassification

As a Data Labeling & Annotation Specialist, I labeled and categorized images using predefined taxonomies. I identified main objects such as chairs, cars, animals, and tools with high accuracy and verified various image attributes. I consistently maintained high annotation standards and ensured guideline adherence for large-scale datasets. • Used tools like Labelbox, Scale AI, and Prodigy for annotation. • Skipped unclear or ambiguous images as per strict instructions. • Checked and verified attributes like color, shape, and context. • Ensured data consistency throughout all assigned tasks.

As a Data Labeling & Annotation Specialist, I labeled and categorized images using predefined taxonomies. I identified main objects such as chairs, cars, animals, and tools with high accuracy and verified various image attributes. I consistently maintained high annotation standards and ensured guideline adherence for large-scale datasets. • Used tools like Labelbox, Scale AI, and Prodigy for annotation. • Skipped unclear or ambiguous images as per strict instructions. • Checked and verified attributes like color, shape, and context. • Ensured data consistency throughout all assigned tasks.

2021 - Present

Research Assistant – Data Annotation

ProdigyImageClassification

As a Research Assistant at SEKU, I annotated image and text datasets to support machine learning model development. I performed quality assurance, validation checks, and contributed to dataset evaluation frameworks. My work facilitated the preparation of high-quality data for AI research projects. • Labeled and validated diverse datasets, including images and text. • Assisted in establishing dataset evaluation and quality frameworks. • Ensured accuracy and guideline compliance in data annotation tasks. • Supported the data needs for machine learning training and validation.

As a Research Assistant at SEKU, I annotated image and text datasets to support machine learning model development. I performed quality assurance, validation checks, and contributed to dataset evaluation frameworks. My work facilitated the preparation of high-quality data for AI research projects. • Labeled and validated diverse datasets, including images and text. • Assisted in establishing dataset evaluation and quality frameworks. • Ensured accuracy and guideline compliance in data annotation tasks. • Supported the data needs for machine learning training and validation.

2022 - 2023

Education

Work History