Deep Learning Quality Specialist
About The Position
The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA’s venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it’s designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You’ll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. As a Deep Learning Quality Specialist at Carbon Robotics you'll 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 & fixing complex deep learning models to ensure our products are robust & reliable. You will help the Deep Learning team by performing field tests and identifying issues with models. You'll do whatever it takes - which includes going to the farm - to ensure our customers have reliable and safe products. Our office is based in Seattle, WA, but this role can be fully remote.
Requirements
- Education or professional experience in agronomy & farming or data annotation
- Highly motivated, independent thinker with great problem solving skills
- Highly organized with excellent time management to juggle multiple priorities at the same time
- Collaboration skills to work with customers and internal teams simultaneously
- High level of attention to detail & the ability to think strategically
- Detail-oriented, with proven ability to deliver accurate reporting
- Intermediate to advanced Google Suite and Confluence skills desired
- Ability to assess high risk situations & make safe independent decisions on a risk based process
Responsibilities
- Audit data to ensure clean and appropriate datasets
- Look through imagery and correct labels and classifications then give feedback to labelers
- Work closely with support to help investigate issues and determine what is needed to insure data integrity
- Review data irregularities detected by automated tooling
- Validate solutions, document results and record customer feedback
- Translates field tests, model issues and analyze customer feedback
- Prepare cases for field personnel to review labels/predictions
- Help the Deep Learning team prioritize tasks based on impact to customer satisfaction
Benefits
- Competitive salaries
- Pre-IPO Stock Options
- Fully-paid medical, dental, and vision insurance premiums for you and all dependents
- Choice of PPO or HDHP/HSA
- Virtual Care - Doctor on Demand
- Employee Assistance Program
- Mental Health HRA
- Restricted Healthcare Travel support
- Menopause Support
- Life Insurance
- Long Term Disability
- Flexible PTO
- 401(k) plan
- Pet Insurance
- Commuter Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
