Quality Analyst
QA Engineer – Insights (AI/ML)
Location: Remote (US)
Department: Insights (AI/ML)
Reports to: Engineering Manager
About the Role
Irth is building a new AI-driven threat and risk management platform for pipeline asset integrity. The platform brings together three capabilities that have historically been separate at Irth:
- A governed, cross-product data platform built on Databricks and Azure
- An AI-powered ingestion layer that normalizes, repairs, and enriches customer data without services-heavy onboarding
- A reusable analytical layer that runs industry-standard, Irth-developed, and customer-built risk models against the data
We are seeking a mid-level QA Engineer to own quality across the platform end to end, including the user interface, APIs and platform services, and the underlying analytics and model layer.
This role goes beyond traditional application testing. You will validate that data survives ingestion and transformation intact, risk-model outputs are accurate and reproducible, and the evidence trail behind those outputs can withstand regulatory audit. Operators use these outputs to prioritize excavation and repair work, so a silently incorrect result can be far more consequential than a visibly broken interface.
You will own regression coverage and test automation while helping build quality into the delivery pipeline from th
