Maurice O.

Key Skills

Software

Other

Top Subject Matter

Machine learning training data preparation (text/language datasets)

AI training/testing dataset preparation and labeling QA (text)

AI dataset quality review and validation (text)

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Classification

Freelancer Overview

Lead Machine Learning Engineer | TechCorp Solutions (Training dataset preparation and labeling validation). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Multimedia University of Kenya (2021). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification, Classification, and Evaluation.

Labeling Experience

Lead Machine Learning Engineer | TechCorp Solutions (Training dataset preparation and labeling validation)

TextEntity (NER) Classification

Prepared and validated text training datasets used for machine learning applications. Reviewed labeled outputs to ensure consistency, accuracy, and adherence to annotation guidelines. Identified data quality issues and resolved labeling inconsistencies before deployment. • Validated labeled datasets for compliance and guideline adherence • Coordinated workflow processes for large-scale text and language datasets • Maintained documentation of labeling standards and evaluation procedures • Supported pre-production quality checks to reduce labeling errors

2024 - Present

Software Engineer (Machine Learning Systems) | Global AI Labs (Dataset preparation and labeling quality assurance)

TextClassification

Organized and processed large text datasets for AI model training and testing. Conducted routine quality checks to improve dataset accuracy and reduce labeling errors. Collaborated with internal teams to enhance data handling procedures and maintain annotation tracking records. • Supported preparation of datasets for training and testing • Performed quality checks to reduce labeling errors • Improved data handling workflows with internal teams • Maintained records, reports, and annotation tracking systems

2022 - 2023

Text Annotation & Validation Project | Personal Project

OtherTextClassification

Annotated and categorized text datasets for machine learning experiments. Reviewed labeled outputs to improve consistency and reduce classification errors. Maintained documentation of annotation rules and workflow procedures to support repeatable labeling. • Annotated and categorized text samples for ML experiments • Reviewed outputs to improve consistency and reduce errors • Documented annotation rules and labeling workflows • Ensured organized tracking of labeled data

Not specified

AI Dataset Quality Review | Personal Project

OtherText

Performed manual reviews of AI-generated text outputs to identify inaccuracies and edge cases. Flagged incomplete or inconsistent entries to improve dataset reliability. Assisted with preparing clean and structured datasets for downstream model evaluation. • Reviewed AI outputs for quality and edge cases • Flagged inconsistent or incomplete entries for correction • Prepared structured datasets for model evaluation • Improved reliability through targeted quality review

Not specified

Education

Work History