Deep Learning Quality Specialist

About this role

<div class="content-intro"><p>Carbon Robotics is the leader in physical AI for agriculture, helping farmers become more profitable and sustainable. Its flagship product, the LaserWeeder™, is the world’s leading commercial laser weeding system with hundreds of units operated by farmers in 15 countries worldwide.<br><br>LaserWeeder combines computer vision, AI, robotics, and high-powered lasers to identify weeds and destroy them with sub-millimeter precision—no herbicides, hand labor, or soil disturbance required. Growers achieve weed control cost reductions of up to 80% and crop yield increases of 5–50%, with payback in one to three years. The system is powered by Carbon AI’s Large Plant Model (LPM), trained on 150 million labeled plants, and can start weeding any crop or field in minutes.<br><br>The company's second product is Carbon Autonomy, the most dependable tractor autonomy solution. Carbon Autonomy includes a retrofit tractor autonomy kit for John Deere tractors, autonomy software, and remote supervision for real-time interventions if required.<br><br>Carbon Robotics is based in Seattle, Washington State, USA and has raised $185 million in capital since 2018 from leading investors including NVIDIA’s NVentures and BOND.</p> <p><a href="https://www.youtube.com/@CarbonRoboticsLaserWeeding">YouTube</a> | <a href="https://x.com/carbon_robotics">X</a> | <a href="https://www.instagram.com/carbon_robotics/">Instagram</a> | <a href="https://www.linkedin.com/company/carbonrobotics/">LinkedIn</a> | <a href="https://carbonrobotics.com/news">News</a></p></div><p>As a <strong>Deep Learning Quality Specialist</strong> at<strong> Carbon Robotics</strong> 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. <strong>You'll do whatever it takes</strong> - which includes going to the farm - to ensure our customers have reliable and safe products.</p> <p>Our office is based in Seattle, WA, but this role can be fully remote. </p> <p><strong>What you’ll do:</strong></p> <ul> <li>Audit data to ensure clean and appropriate datasets</li> <li>Look through imagery and correct labels and classifications then give feedback to labelers</li> <li>Work closely with support to help investigate issues and determine what is needed to insure data integrity</li> <li>Review data irregularities detected by automated tooling</li> <li>Validate solutions, document results and record customer feedback</li> <li>Translates field tests, model issues and analyze customer feedback</li> <li>Prepare cases for field personnel to review labels/predictions</li> <li>Help the Deep Learning team prioritize tasks based on impact to customer satisfaction</li> </ul> <p><strong>Knowledge, Skills, and Abilities for Success:</strong></p> <ul> <li>Education or professional experience in agronomy & farming or data annotation</li> <li>Highly motivated, independent thinker with great problem solving skills</li> <li>Highly organized with excellent time management to juggle multiple priorities at the same time</li> <li>Collaboration skills to work with customers and internal teams simultaneously</li> <li>High level of attention to detail & the ability to think strategically</li> <li>Detail-oriented, with proven ability to deliver accurate reporting</li> <li>Intermediate to advanced Google Suite and Confluence skills desired</li> <li>Ability to assess high risk situations & make safe independent decisions on a risk based process</li> <li>Traveling required 10-15%</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted.  The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work.</p></div><div class="title">Carbon Robotics' base salary pay range:</div><div class="pay-range"><span>$72,000</span><span class="divider">—</span><span>$90,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>Why would you join Carbon Robotics?</strong></p> <p><span style="font-weight: 400;">Passion for building teams capable of </span><strong>solving uniquely interesting problems</strong><span style="font-weight: 400;">. Innovation…