John N.

Key Skills

Software

Other

Top Subject Matter

Data analysis risk and incident classification, Automated Forecasting and Systems

ERP Systems Engineering and Development

Large-scale AI automation and integration for business

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

HELIXAI — AI Data Systems Developer, Capstone Project (SAIT) (AI-training and labeling pipeline engineering). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Airtable and Other. Education includes Bachelor of Business Administration, Southern Alberta Institute of Technology (2026). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

HELIXAI — AI Data Systems Developer, Capstone Project (SAIT) (AI-training and labeling pipeline engineering)

TextClassification

Built a human-in-the-loop pipeline to transform large volumes of unstructured supply-chain text into consistently labeled, structured records for downstream risk forecasting. Designed and applied a labeling taxonomy including risk category, severity, urgency, entity/location references, source reliability, and required action while enforcing guideline adherence. Authored AI intake instructions and QA criteria, audited model outputs for accuracy and hallucination risk, and refined labeling guidance from recurring edge cases. • Ingested raw unstructured supply-chain data into Airtable using Zapier and Make • Performed classification across thousands of records with edge-case handling • Evaluated outputs for policy fit, field completeness, clarity, and hallucination risk • Implemented instant SMS alerting when labeled thresholds were crossed

2025 - Present

Horizon Properties — Chief Operations Officer (prior: Operations Manager) (text structuring and classification)

OtherTextClassification

Converted high volumes of unstructured guest communications and operational reports into structured, analysis-ready text records supporting trend analysis, dispute evidence, and operational decisioning. Labeled issues by root cause, severity, financial impact, policy relevance, and evidence strength while applying strict documentation standards for sensitive safety, privacy, fraud, and platform-policy cases. Established SOP frameworks and escalation protocols to ensure repeatable, guideline-driven execution across a multi-property portfolio. • Structured and classified text from Airbnb, VRBO, Booking.com, and Expedia • Performed severity and policy-relevance classification with evidence-strength labeling • Reviewed and documented sensitive cases with privacy and fraud risk controls • Created escalation and control processes to maintain labeling consistency

2023 - Present

Education

Work History