Joshua Mirasi

Key Skills

Software

Labelbox

Top Subject Matter

Financial Compliance & Risk Analysis

Fraud Detection

Legal Services & Contract Review

Top Data Types

Document

Text

Top Task Types

Entity Ner Classification

Classification

Freelancer Overview

Data Annotation Specialist — Finance, language & IT (Freelance/Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Doctor of Philosophy, Moi Kabarak (2023). AI-training focus includes data types such as Document and labeling workflows including Entity (NER) Classification and Classification.

Labeling Experience

Fraud Detection Dataset Labeling

LabelboxDocumentClassification

I was responsible for labeling transaction data to support fraud detection model training in the financial sector. My task involved tagging suspicious activities to enhance dataset quality and algorithm accuracy. I ensured proper dataset balance and reliability for fraud risk analytics. • Tagged suspicious and non-suspicious transactions. • Provided label consistency across various transaction types. • Assisted in dataset validation and quality assurance. • Contributed to refining fraud detection labeling protocols.

I was responsible for labeling transaction data to support fraud detection model training in the financial sector. My task involved tagging suspicious activities to enhance dataset quality and algorithm accuracy. I ensured proper dataset balance and reliability for fraud risk analytics. • Tagged suspicious and non-suspicious transactions. • Provided label consistency across various transaction types. • Assisted in dataset validation and quality assurance. • Contributed to refining fraud detection labeling protocols.

2024 - Present

Financial Document Annotation — Fintech ML Project

LabelboxDocumentClassification

I supported a Fintech machine learning project through high-volume annotation of financial documents. My work emphasized both label consistency and data quality to benefit downstream AI/ML applications. The experience bolstered my understanding of annotation best practices in financial technology. • Annotated over 5,000 documents for ML model training. • Maintained 95%+ accuracy standards in annotation tasks. • Coordinated with technical teams to align labeling strategies. • Focused on real-world financial datasets and applications.

I supported a Fintech machine learning project through high-volume annotation of financial documents. My work emphasized both label consistency and data quality to benefit downstream AI/ML applications. The experience bolstered my understanding of annotation best practices in financial technology. • Annotated over 5,000 documents for ML model training. • Maintained 95%+ accuracy standards in annotation tasks. • Coordinated with technical teams to align labeling strategies. • Focused on real-world financial datasets and applications.

2024 - Present

Data Annotation Specialist — Finance, language & IT (Freelance/Remote)

LabelboxDocumentEntity Ner Classification

As a Data Annotation Specialist, I annotated and classified a wide range of financial documents for machine learning model training. My responsibilities included entity extraction, OCR correction, and conducting quality control to maintain high accuracy. I worked closely with data science and engineering teams to refine guidelines and improve dataset consistency. • Annotated and classified documents like bank statements, invoices, and loan applications. • Performed NER for key financial entities including balances, dates, and account details. • Validated and corrected OCR text for reliable training data. • Utilized tools such as Labelbox, Prodigy, LightTag, and Scale AI for data annotation.

As a Data Annotation Specialist, I annotated and classified a wide range of financial documents for machine learning model training. My responsibilities included entity extraction, OCR correction, and conducting quality control to maintain high accuracy. I worked closely with data science and engineering teams to refine guidelines and improve dataset consistency. • Annotated and classified documents like bank statements, invoices, and loan applications. • Performed NER for key financial entities including balances, dates, and account details. • Validated and corrected OCR text for reliable training data. • Utilized tools such as Labelbox, Prodigy, LightTag, and Scale AI for data annotation.

2024 - Present

Education

Work History