As a Deep Learning Quality Specialist, you will play a critical role in ensuring the integrity and quality of datasets used in machine learning projects. This position involves auditing data, reviewing imagery, fixing labels, and providing feedback to labelers. You will also investigate data issues and collaborate with both customers and internal teams to maintain high standards in data quality.

Key Responsibilities

• Audit data to ensure clean datasets.
• Review imagery and fix labels.
• Provide feedback to labelers and investigate data issues.
• Validate solutions and document results.
• Prepare field cases to review labels/predictions.

Required Skills & Qualifications

• Degree or experience in agronomy or data annotation.
• Strong problem-solving skills and independent thinking.
• Excellent time management and multi-priority focus.
• Detail-oriented with accurate reporting.
• Proficient in Google Suite and Confluence.