Deep Learning Quality SpecialistAs a Deep Learning Quality Specialist at Carbon Robotics, you will be responsible for maintaining our expanding dataset of high‑resolution images that feed our computer vision algorithms. You will develop a deep understanding of our data annotation practices and assist in diagnosing and fixing complex deep learning models to ensure our products are robust and reliable. You will also help the Deep Learning team by performing field tests and identifying issues with models, often going to the farm to ensure reliable and safe products.What You’ll DoAudit data to ensure clean and appropriate datasetsReview imagery, correct labels and classifications, and provide feedback to labelersWork closely with support to investigate issues and determine what is needed to ensure data integrityReview data irregularities detected by automated toolingValidate solutions, document results,



and confirm customer feedbackTranslate field test results and model issues into actionable insightsPrepare cases for field personnel to review labels and predictionsHelp the Deep Learning team prioritize tasks based on impact to customer satisfactionKnowledge, Skills, and Abilities for SuccessEducation or professional experience in Agronomy or FarmingData annotation experienceHighly motivated, independent thinker with strong problem‑solving skillsHighly organized with excellent time management to juggle multiple priorities simultaneouslyCollaboration skills to work with customers and internal teams simultaneouslyHigh level of attention to detail and strategic thinking abilityDetail-oriented with proven ability to deliver accurate reportingIntermediate to advanced Google Suite and Confluence skills desiredAbility to identify and address high‑risk situations and make safe independent decisions based on processTravel required – 10–15%Compensation and BenefitsCompetitive salaries (USD 72,000–80,000 base, with opportunities based on experience and performance)Pre‑IPO stock op

📌 Performance Escalations Technician (Madrid)
🏢 Carbon Robotics
📍 Madrid