Deep Learning Quality Specialist
Core
Maintain high-resolution image datasets for computer vision algorithms, audit data quality, correct labels, and diagnose deep learning model issues to ensure product reliability.
Role type
Deep Learning Quality Specialist (Data Annotation & Model Validation)
Builds
LaserWeeder™ autonomous laser weeding system and Carbon Autonomy tractor autonomy solution
Domain
Agriculture technology (AgTech) / Computer Vision / Robotics
Deliverable
production ML models
Required skills
Data annotation, deep learning model diagnosis, field testing, data integrity validation, customer feedback analysis, task prioritization
Preferred skills
Agronomy or farming experience, Google Suite, Confluence
Technologies
Computer vision algorithms, Large Plant Model (LPM), automated tooling
Responsibilities
Audit data to ensure clean and appropriate datasets, correct labels and classifications in imagery, investigate issues with support to determine data integrity needs, review data irregularities detected by automated tooling, validate solutions and document results, translate field tests and model issues into actionable insights, prepare cases for field personnel to review labels and predictions
Seniority
Individual Contributor