Mbonyingabo D.

Key Skills

Software

Labelbox

Scale AI

Top Subject Matter

E-commerce QA / Product matching & tagging

E-commerce product matching

taxonomy management & data enrichment

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

E-commerce Content Moderator / QA Associate (TEMU). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and Labelbox. Education includes Bachelor Degree, Mount Kenya University. AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Quality and Modulation & Product Specialist (ISON XPERINCES - TEMU)

LabelboxTextClassification

Performed product data enrichment by accurately matching new inventory to existing database entries with a reported 90% accuracy rate. Conducted quality assurance audits on digital content, correcting inaccuracies in product descriptions, imagery, and categorization to meet platform standards. Identified and documented edge cases for ambiguous product images and maintained a best-practices log that reduced team-wide tagging errors by 95%.• Produced labeling and matching decisions for ambiguous product and image scenarios.• Audited taxonomy alignment and improved categorization consistency.• Provided taxonomy feedback to developers to streamline the data labeling workflow.• Supported data integrity improvements through anomaly detection and edge-case documentation.

2025 - 2026

E-commerce Content Moderator / QA Associate (TEMU)

TextClassification

Managed high-volume product pins and tagging for a major e-commerce platform, with emphasis on influencer-generated content. Matched complex lifestyle images to specific SKU data using nuanced judgment under fast-paced requirements. Ensured consistent labeling quality by maintaining high-velocity output while meeting strict data integrity and categorization benchmarks.• Audited and corrected product description, imagery, and categorization inconsistencies.• Flagged platform anomalies to engineering to prevent systemic labeling errors.• Applied guidelines for attribution and accurate product-to-SKU mapping.• Contributed to backlog clearing and improved match accuracy through careful review.

2024 - 2024

Education

Work History