Samuel G.

Key Skills

Software

Other

Top Subject Matter

Humanitarian program data quality assurance and dataset validation

Multi-sector humanitarian reporting and data verification

Structured and unstructured dataset labeling

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Program Manager – Kenya Resilient Arid Land Partnership (data quality review and validation). Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Arts, University of Nairobi and Bachelor of Arts, University of Nairobi. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Programme Manager – World Vision International DRC (data validation/QA and compliance)

OtherText

Led quality assurance processes focused on validating and verifying structured project data to maintain high accuracy and compliance. Reviewed and validated reporting outputs to ensure correctness, consistency, and alignment with operational guidelines. Coordinated monitoring and performance tracking workflows that supported dataset integrity for analysis and potential AI-related use. • Ensured data accuracy and consistency through review and validation. • Coordinated quality assurance and maintained verification records. • Interpreted guidelines to maintain compliance across datasets. • Supported documentation for donor reporting and dataset traceability.

2023 - 2025

Program Manager – Kenya Resilient Arid Land Partnership (data quality review and validation)

OtherText

Coordinated data validation and quality assurance activities to ensure datasets met reporting and compliance standards for downstream analysis. Conducted data reviews to identify errors, duplicates, and inconsistencies that could affect AI training or evaluation datasets. Managed documentation and verification workflows supporting structured data quality checks. • Validated and reviewed project datasets for accuracy and consistency. • Interpreted guidelines to ensure compliance during data review. • Supported dataset preparation and verification steps. • Maintained detailed records for auditability and stakeholder reporting.

2022 - 2023

AI training support via data annotation and quality review (as stated in additional annotation experience)

OtherTextClassification

Supported AI data preparation by applying labeling principles to structured and unstructured datasets. Conducted quality reviews and validation steps to improve label consistency and reduce dataset defects prior to training or evaluation. Used guideline interpretation to ensure outputs followed defined labeling standards. • Categorized and validated dataset records for quality. • Performed error/duplicate/inconsistency checks. • Ensured compliance with annotation guidelines. • Assisted with data preparation and verification for AI workflows.

2019 - 2021

Education

Work History