Mason Jones

Key Skills

Software

CVAT

Dataloop

Encord

Labelbox

Scale AI

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Text

Video

Top Label Types

Audio Recording

Bounding Box

Classification

Data Collection

Entity Ner Classification

Evaluation Rating

Text Summarization

Freelancer Overview

With over seven years of experience in data analysis, I have developed strong expertise in cleaning, transforming, and validating large and complex datasets—skills that are essential for high-quality data labeling and annotation work. My background includes building and optimizing ETL processes, implementing rigorous data validation standards to achieve 99% accuracy, and automating reporting systems using advanced SQL and Python. I am highly proficient with tools such as Power BI, Tableau, Excel, and Google BigQuery, and have led projects involving data modeling, KPI tracking, and customer segmentation. My experience collaborating with cross-functional teams and mentoring junior analysts has strengthened my attention to detail and ability to ensure data integrity, making me well-equipped to support AI training data initiatives across a variety of domains.

Labeling Experience

Senior Data Labeling Specialist – Comurule Data Solutions

LabelboxImageBounding Box

As Senior Data Labeling Specialist, I was responsible for annotating computer vision datasets with high-volume image data. I applied bounding boxes, keypoints, and semantic segmentation to ensure quality machine learning inputs. I also standardized labeling documentation and led quality assurance processes. • Annotated over 20,000 images per month using advanced techniques • Improved annotation accuracy to 98% through thorough QA reviews • Documented standards for team consistency • Collaborated remotely with a distributed team

As Senior Data Labeling Specialist, I was responsible for annotating computer vision datasets with high-volume image data. I applied bounding boxes, keypoints, and semantic segmentation to ensure quality machine learning inputs. I also standardized labeling documentation and led quality assurance processes. • Annotated over 20,000 images per month using advanced techniques • Improved annotation accuracy to 98% through thorough QA reviews • Documented standards for team consistency • Collaborated remotely with a distributed team

2023 - 2025

Data Annotation Analyst – Techwazza Concepts

Scale AITextEntity Ner Classification

As a Data Annotation Analyst, I labeled NLP text datasets, including assessing sentiment and extracting entities. I processed various structured and unstructured data types for AI use. I maintained high accuracy and resolved dataset inconsistencies. • Conducted entity recognition for multiple NLP projects • Tagged sentiment and intent classifications across text datasets • Proactively identified/corrected annotation errors • Sustained 95%+ accuracy for annotation outputs

As a Data Annotation Analyst, I labeled NLP text datasets, including assessing sentiment and extracting entities. I processed various structured and unstructured data types for AI use. I maintained high accuracy and resolved dataset inconsistencies. • Conducted entity recognition for multiple NLP projects • Tagged sentiment and intent classifications across text datasets • Proactively identified/corrected annotation errors • Sustained 95%+ accuracy for annotation outputs

2021 - 2023

Data Labeling Associate – Seahorse Africa

CVATDocumentClassification

In this position, I organized and tagged data supporting recommendation systems. I managed annotation logs and ensured pipelines were delivered with clean data. I coordinated with model engineers to facilitate effective training outcomes. • Categorized datasets with precise tags • Maintained comprehensive annotation documentation • Conducted formatting for model-ready datasets • Collaborated on preparation of data pipelines

In this position, I organized and tagged data supporting recommendation systems. I managed annotation logs and ensured pipelines were delivered with clean data. I coordinated with model engineers to facilitate effective training outcomes. • Categorized datasets with precise tags • Maintained comprehensive annotation documentation • Conducted formatting for model-ready datasets • Collaborated on preparation of data pipelines

2019 - 2021

Data Entry and Annotation Assistant – Dubz Marketing

SuperannotateDocumentClassification

I performed labeling for customer behavior and marketing datasets, ensuring correct preparation for analytics workflows. I validated data before submission to guarantee accuracy. I collaborated closely with other teams to meet project deadlines. • Labeled structured marketing data • Conducted validation checks for accuracy • Streamlined data for analytics workflow • Reported on labeling metrics and issues

I performed labeling for customer behavior and marketing datasets, ensuring correct preparation for analytics workflows. I validated data before submission to guarantee accuracy. I collaborated closely with other teams to meet project deadlines. • Labeled structured marketing data • Conducted validation checks for accuracy • Streamlined data for analytics workflow • Reported on labeling metrics and issues

2018 - 2019

Data Processing Assistant – Copeland Limited

EncordDocumentClassification

As Data Processing Assistant, I organized and formatted raw datasets for use in machine learning projects. I conducted batch quality checks and helped maintain annotation standards. I tracked dataset progress to ensure reliability for further data labeling and preparation. • Formatted raw data for ML readiness • Performed batch QA reviews • Maintained annotation accuracy standards • Supported other team members in data tasks

As Data Processing Assistant, I organized and formatted raw datasets for use in machine learning projects. I conducted batch quality checks and helped maintain annotation standards. I tracked dataset progress to ensure reliability for further data labeling and preparation. • Formatted raw data for ML readiness • Performed batch QA reviews • Maintained annotation accuracy standards • Supported other team members in data tasks

2017 - 2018

Education

Work History