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Jeremy De Wild

@jeremydewild

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Software QA Engineer focused on AI data labeling accuracy and product reliability.

United States

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What I'm looking for

I’m looking for a role that blends software QA with AI/ML data labeling validation—where I can audit datasets, detect AI-generated artifacts, run regression and API checks, collaborate with engineering and vendors, and continuously improve quality at scale.

I’m a quality-driven Software QA Engineer & Data Labeling Analyst with 3+ years of experience validating web and mobile applications while strengthening AI/ML training data through labeling, annotation, and audit-ready reviews.

I’ve built reliable software release confidence through manual, functional, UI, regression, smoke, sanity, API, accessibility, and cross-platform testing, and I’m comfortable working in fast-paced, ambiguous environments with cross-functional teams and vendors.

I’m recognized as a Subject Matter Expert (SME) in content quality—identifying AI-generated media, detecting artifacts and inconsistencies, and improving dataset integrity through comprehensive data quality audits, annotation QA validation, and root cause analysis.

In my recent contract work for Meta (Facebook) and prior role at Emplifi, I generated labeling metrics and KPI dashboards, escalated issues with detailed documentation, and helped reduce recurring defects—bridging application QA and data annotation validation to improve downstream AI system performance.

Experience

Work history, roles, and key accomplishments

Current

Contract Data Labeling Analyst III/Meta

Current

Tundra Technical Solutions

May 2026 - Present (2 months)

Perform high-volume AI data labeling, annotation, classification, and dataset validation across image, video, audio, and text to support large-scale AI/ML model training and evaluation. Serve as an SME for labeling workflows, content policy interpretation, and AI-generated media evaluation, conducting audits, and root cause analysis to improve dataset integrity and operational completions.

AI Data Labeling Data Annotation Data Classification Data Validation Image Labeling Video Labeling Audio Labeling Content Compliance Synthetic Media Evaluation Data Auditing Inter Annotator Agreement KPI Reporting Excel Google Sheets Root Cause Analysis Bug Escalation Jira SQL

Quality Assurance Analyst

Emplifi

Feb 2022 - Aug 2025 (3 years 6 months)

Executed end-to-end software QA testing (manual, functional, regression, UI, API, and accessibility) for web and mobile applications to support high-quality releases. Audited large-scale labeled datasets and performed content review and annotation validation to improve data reliability for AI/ML training pipelines, including root cause analysis and KPI reporting.