Hesborn M.

Key Skills

Software

Don't disclose

Top Subject Matter

Industrial/refinery imagery labeling and dataset quality assurance

Multilingual digital content curation with privacy redaction

AI reasoning evaluation and computational validation for computer science training

Top Data Types

Image

Text

Document

Top Task Types

Classification

Data Collection

Freelancer Overview

AI Data Annotation & Quality Review Specialist. Core strengths include Don't disclose. Education includes Bachelor of Science, Chuka University. AI-training focus includes data types such as Image, Text, and Computer Code and labeling workflows including Classification, Data Collection, and Evaluation.

Labeling Experience

AI Evaluation & Computer Science Validation Expert

Don't disclose

Performed AI evaluation and computer science validation for AI training and reasoning assessment. Assessed AI-generated responses using structured evaluation methodologies and analyzed logical correctness, assumptions, and constraints. Validated computational outputs and simulations using Python libraries and provided expert technical feedback to improve reasoning and accuracy. • Evaluated AI responses with structured rubrics • Checked multi-step logical correctness and constraints • Validated simulations using Python (NumPy, Pandas, SciPy) • Delivered technical feedback to improve AI reasoning

Not specified

Digital Content Collection & Data Curation Contributor

Don't discloseTextData Collection

Contributed to multilingual digital content collection and data curation for AI/data projects. Ensured all collected content complied with privacy, consent, and non-synthetic data requirements. Redacted personal and sensitive information to preserve confidentiality and maintain data integrity. • Collected multilingual content across multiple media formats • Applied privacy and consent compliance checks • Redacted personal/sensitive information for confidentiality • Organized and submitted assets per project guidelines

Not specified

AI Data Annotation & Quality Review Specialist

Don't discloseImageClassification

Performed AI image annotation and quality review for refinery and industrial environment datasets. Ensured image frames met strict labeling accuracy and consistency standards while correcting inaccurate or missing labels. Detected and fixed errors in auto-generated annotations to improve dataset reliability for machine learning training. • Reviewed refinery/industrial image frames for label accuracy • Corrected inaccurate or missing auto-annotations • Verified consistency across labeling outputs • Maintained high-quality standards for ML training datasets

Not specified

Education

Work History