Chris

Key Skills

Software

Other

Top Subject Matter

Machine learning text datasets (classification, sentiment analysis, content moderation)

Data verification and dataset quality assurance for AI-related datasets

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

Freelance Data Annotation Specialist - Freelance. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Google Sheets. Education includes Bachelor's Degree, Jaramogi Oginga Odinga University of Science and Technology (2025). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Freelance Data Annotation Specialist - Freelance

TextClassification

You annotate, classify, and review text data using detailed project guidelines to support machine learning and NLP outputs. You perform quality assurance checks to ensure labeling consistency, accuracy, and proper handling of edge cases. You evaluate AI-generated content for relevance, clarity, and compliance with project requirements. • Apply guideline-based annotation and content classification • Conduct QA and discrepancy resolution • Validate and organize datasets for model development • Maintain productivity while meeting quality benchmarks

2024 - Present

Freelance Data Labelling Specialist | Remote (2024 – Present)

OtherTextClassification

Annotated and classified text datasets according to detailed project guidelines and quality standards. Reviewed labeled data to ensure consistency, accuracy, and compliance with annotation requirements, including resolving discrepancies and edge cases. Conducted sentiment labeling and content categorization while performing quality assurance checks to improve dataset reliability for AI and machine learning models. • Text categorization/classification for ML training datasets • Sentiment analysis labeling (positive/negative/neutral) with ambiguity handling • Dataset validation and quality control to detect inconsistencies • Edge case and discrepancy identification, documentation, and resolution

2024 - Present

Data Research & Quality Assistant | Remote (2022 – 2024)

Text

Conducted online data research, verification, and information validation to support dataset quality. Processed, reviewed, and maintained large datasets with attention to accuracy and performed quality control checks to find and correct inconsistencies. Organized structured and unstructured data and produced reports and documentation to support project requirements. • Data verification and information validation for dataset integrity • Quality control checks to detect and correct inconsistencies • Organization of datasets in spreadsheets (structured/unstructured) • Preparation of reports and maintenance of documentation

2022 - 2024

Education

Work History