Deep Learning Quality Specialist
Confirmed live in the last 24 hours
Carbon Robotics
Compensation
$72,000 - $80,000/year
Job Description
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.
Deep Learning Quality Specialist
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 and 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.
Are you ready to help design our line of LaserWeeders that solve real problems in our food supply?
What You’ll Do:
- Audit data to ensure clean and appropriate datasets
- Look through imagery and correct labels and classifications then provide feedback to labelers
- Work closely with support to help investigate issues and determine what is needed to ensure data integrity
- Review data irregularities detected by automated tooling
- Validate solutions, document results and document customer feedback
- Translate 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
Knowledge, Skills, and Abilities for Success:
- Education or professional experience in Agronomy or Farming
- Data annotation experience
- 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 identify and address high risk situations & make safe independent decisions based on process
- Traveling required - 10-15%
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