John Muda

Key Skills

Software

CVAT

Labelbox

Appen

Doccano

Supervisely

Top Subject Matter

Machine Learning/AI Training

NLP/Sentiment Analysis/Entity Recognition

AI Training/Audio Classification

Top Data Types

Image

Text

Audio

Document

Top Task Types

Bounding Box

Entity (NER) Classification

Classification

Freelancer Overview

Freelance Data Labeling Specialist (Image Annotation). Brings 1+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include CVAT, Labelbox, and Appen. Education includes Bachelor of Science, Murang’a University of Technology (2024). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Entity (NER) Classification, and Classification.

Labeling Experience

Freelance Data Labeling Specialist (Audio Annotation)

CVATAudioClassification

I performed labeling of audio data for use in machine learning and AI model training. Tasks included categorization, sentiment, and validation to maintain high-quality audio datasets. Regular feedback loops helped improve annotation standards and project delivery. • Categorized and validated audio files for AI learning tasks. • Ensured consistency through ongoing audits of labeled audio data. • Applied project-specific labeling schemes to audio segments. • Worked with CVAT and Labelbox to annotate and deliver accurate audio datasets.

I performed labeling of audio data for use in machine learning and AI model training. Tasks included categorization, sentiment, and validation to maintain high-quality audio datasets. Regular feedback loops helped improve annotation standards and project delivery. • Categorized and validated audio files for AI learning tasks. • Ensured consistency through ongoing audits of labeled audio data. • Applied project-specific labeling schemes to audio segments. • Worked with CVAT and Labelbox to annotate and deliver accurate audio datasets.

2023 - Present

Freelance Data Labeling Specialist (Text Annotation)

LabelboxTextEntity Ner Classification

I labeled text data for machine learning purposes, including sentiment analysis and entity recognition (NER) tasks. I applied classification labels and maintained accuracy with systematic checks on text data. Collaboration with AI teams helped refine guidelines to improve text model accuracy. • Classified large volumes of text data using established annotation protocols. • Performed NER and sentiment analysis tasks with high attention to detail. • Utilized CVAT and Labelbox for streamlined text annotation workflows. • Supported model development by ensuring labeled text data met project requirements.

I labeled text data for machine learning purposes, including sentiment analysis and entity recognition (NER) tasks. I applied classification labels and maintained accuracy with systematic checks on text data. Collaboration with AI teams helped refine guidelines to improve text model accuracy. • Classified large volumes of text data using established annotation protocols. • Performed NER and sentiment analysis tasks with high attention to detail. • Utilized CVAT and Labelbox for streamlined text annotation workflows. • Supported model development by ensuring labeled text data met project requirements.

2023 - Present

Freelance Data Labeling Specialist (Image Annotation)

CVATImageBounding Box

As a Freelance Data Labeling Specialist, I annotated and labeled large image datasets to support training and validation of machine learning models. I performed image annotation tasks such as bounding boxes, object detection, and segmentation using leading annotation tools. I ensured accuracy by conducting regular quality checks and collaborating with AI teams for guideline refinement. • Delivered consistently high-quality image labels for object detection and segmentation. • Maintained a 98% accuracy rate across diverse image annotation projects. • Used CVAT and Labelbox for efficient and precise image data labeling. • Actively contributed to improving annotation guidelines for better model performance.

As a Freelance Data Labeling Specialist, I annotated and labeled large image datasets to support training and validation of machine learning models. I performed image annotation tasks such as bounding boxes, object detection, and segmentation using leading annotation tools. I ensured accuracy by conducting regular quality checks and collaborating with AI teams for guideline refinement. • Delivered consistently high-quality image labels for object detection and segmentation. • Maintained a 98% accuracy rate across diverse image annotation projects. • Used CVAT and Labelbox for efficient and precise image data labeling. • Actively contributed to improving annotation guidelines for better model performance.

2023 - Present

AI Data Annotator (Online Platforms)

AppenTextClassification

As an AI Data Annotator, I completed microtasks involving data tagging, text categorization, and validation for AI systems. My contributions supported the training of chatbots and recommendation systems. Annotation consistency and adherence to guidelines were top priorities in this role. • Tagged and categorized text data on online platforms. • Validated and corrected existing text annotations for quality assurance. • Maintained deadline discipline while managing repetitive annotation tasks. • Provided feedback to improve future data labeling tasks and guidelines.

As an AI Data Annotator, I completed microtasks involving data tagging, text categorization, and validation for AI systems. My contributions supported the training of chatbots and recommendation systems. Annotation consistency and adherence to guidelines were top priorities in this role. • Tagged and categorized text data on online platforms. • Validated and corrected existing text annotations for quality assurance. • Maintained deadline discipline while managing repetitive annotation tasks. • Provided feedback to improve future data labeling tasks and guidelines.

2022 - 2023

AI Training Dataset Preparation Project

SuperviselyImageClassification

I prepared and labeled image datasets for a machine learning training project. Consistent labeling rules were applied across thousands of images to improve data quality. I identified and eliminated inconsistencies and errors to increase dataset usability. • Labeled a large quantity of images to support machine learning development. • Implemented standardized labeling procedures for accuracy and efficiency. • Regularly cleaned datasets to ensure high usability for model training. • Provided documentation and feedback to improve ongoing and future labeling projects.

I prepared and labeled image datasets for a machine learning training project. Consistent labeling rules were applied across thousands of images to improve data quality. I identified and eliminated inconsistencies and errors to increase dataset usability. • Labeled a large quantity of images to support machine learning development. • Implemented standardized labeling procedures for accuracy and efficiency. • Regularly cleaned datasets to ensure high usability for model training. • Provided documentation and feedback to improve ongoing and future labeling projects.

2021 - 2021

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Education

Work History