Alex Mutabazi

Key Skills

Software

Labelbox

Remotasks

Top Subject Matter

Natural Language Processing

Computer Vision

Top Data Types

Text

Image

Top Task Types

Entity (NER) Classification

Object Detection

Classification

Freelancer Overview

Data Labeling Specialist / AI Trainer. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and Remotasks. Education includes Bachelor of Science, Indiana State University (2015). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Object Detection, and Classification.

Labeling Experience

Data Labeling Specialist / AI Trainer

LabelboxTextEntity Ner Classification

As a Data Labeling Specialist and AI Trainer at HandShake, I annotated large datasets in text, images, and audio for training machine learning models. I applied complex labeling guidelines in natural language processing tasks and consistently reviewed team annotations for quality. I collaborated with data scientists to refine schemas and provided feedback to improve labeling practices. • Labeled text, images, and audio for NLP tasks such as sentiment analysis and entity recognition. • Reviewed and validated peer annotations to ensure consistency and data integrity. • Identified ambiguous data points and contributed to guideline improvements. • Used annotation tools including Labelbox, CVAT, and Prodigy as part of the workflow.

As a Data Labeling Specialist and AI Trainer at HandShake, I annotated large datasets in text, images, and audio for training machine learning models. I applied complex labeling guidelines in natural language processing tasks and consistently reviewed team annotations for quality. I collaborated with data scientists to refine schemas and provided feedback to improve labeling practices. • Labeled text, images, and audio for NLP tasks such as sentiment analysis and entity recognition. • Reviewed and validated peer annotations to ensure consistency and data integrity. • Identified ambiguous data points and contributed to guideline improvements. • Used annotation tools including Labelbox, CVAT, and Prodigy as part of the workflow.

2026 - Present

Data Annotation Associate

RemotasksTextClassification

As a Data Annotation Associate at Remotask, I also worked on text annotation projects for NLP sentiment analysis. I labeled thousands of text samples for sentiment polarity and emotional detection under assigned guidelines. I reported ambiguous or mislabeled data points to improve overall dataset quality. • Labeled text data for sentiment analysis classification. • Identified and flagged edge cases during annotation. • Helped train and validate NLP sentiment models. • Maintained productivity reporting and data records.

As a Data Annotation Associate at Remotask, I also worked on text annotation projects for NLP sentiment analysis. I labeled thousands of text samples for sentiment polarity and emotional detection under assigned guidelines. I reported ambiguous or mislabeled data points to improve overall dataset quality. • Labeled text data for sentiment analysis classification. • Identified and flagged edge cases during annotation. • Helped train and validate NLP sentiment models. • Maintained productivity reporting and data records.

2022 - 2024

Data Annotation Associate

RemotasksImageObject Detection

As a Data Annotation Associate at Remotask, I performed high-volume image and text labeling for computer vision and NLP projects. I categorized and tagged image data according to detailed taxonomies and guidelines. I conducted quality checks and maintained accurate records throughout the project. • Labeled images for object detection and classification tasks. • Utilized Remotasks and annotation tools for efficient data processing. • Conducted reviews and corrected mislabeled information. • Supported model accuracy by rigorous data handling.

As a Data Annotation Associate at Remotask, I performed high-volume image and text labeling for computer vision and NLP projects. I categorized and tagged image data according to detailed taxonomies and guidelines. I conducted quality checks and maintained accurate records throughout the project. • Labeled images for object detection and classification tasks. • Utilized Remotasks and annotation tools for efficient data processing. • Conducted reviews and corrected mislabeled information. • Supported model accuracy by rigorous data handling.

2022 - 2024

Education

Work History