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ML Annotation QA Engineer at Gather AI - ApplyBlast

ML Annotation QA Engineer

Gather AI

1 month ago

4.1 on Glassdoor

Remote

Full Time

Medior

0 applicants

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About this role

The ML Annotation QA Engineer at Gather AI is responsible for ensuring the quality of annotated data used in computer vision and machine learning models. The role involves analyzing annotation outputs, developing quality guidelines, detecting anomalies, and communicating root‑cause findings to engineering and ML teams. It requires strong analytical skills, statistical knowledge, and the ability to work independently with Python and SQL.

Responsibilities

Own judgment-heavy quality analysis of annotated data
Build and maintain performance trackers and anomaly detection
Define and refine verdict taxonomy, decision rules, and documentation

Skills

Qualifications

BS in Computer Science/EngineeringBS in Electrical Engineering

About Gather AI

gather.ai

Headquarters

Pittsburgh, Pennsylvania, United States

Company Size

11-50 employees

Founded

2017

View Profile

Gather AI delivers Physical AI for Intralogistics, providing a foundational intelligence layer for warehouses, plants, and distribution centers. Their platform uses computer vision and autonomous drones to capture real-time inventory data with 99.9% accuracy, enabling case counting, true empty detection, 3D pallet scanning, and AI-driven insights. Warehouses, 3PLs, retailers, and manufacturers use Gather AI to dramatically improve inventory accuracy, reduce manual labor, and achieve ROI in under six months.