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Orchard

AI-powered crop load measurement in orchards

Field Operations Technician

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time$25 - $35 /hr

About the Job

Requirements

  • Prior agriculture or field work experience and comfort spending many hours outdoors.
  • Comfort driving 1–3 hours daily to customer farms and engaging directly with growers in person.
  • Ability to lift at least 20 pounds to set up camera systems.
  • Comfort driving an ATV around farms for extended periods and completing field tasks such as gathering ground-truth data by measuring fruit counts and sizes.
  • Ability to work independently and manage one's own schedule.
  • Valid driver's license for frequent travel to customer farms.

Responsibilities

  • Visit customer farms and scan their fields with AI-powered camera systems to collect farm data.
  • Drive ATVs along farm rows to scan trees, vines, and plants, often for hours at a time.
  • Conduct precise field scouting, including counting trees, vines, and fruit, to collect ground-truth data for AI-powered camera systems.
  • Regularly drive 1–3 hours to customer farms for customer training and deployments.
  • Provide hands-on support, troubleshooting, and training for FruitScope vision systems.
  • Conduct on-farm demonstrations for prospective customers.
  • Engage regularly with customers to ensure ongoing satisfaction and relay customer insights, requests, and suggestions to customer success and engineering teams.

Desired Qualifications

  • Background in agriculture.
  • Proficiency with digital tools such as Google Workspace (Docs) and Slack.
  • Flexibility to work irregular hours to align with growers' schedules.

About the Company

Orchard

AI-powered crop load measurement in orchards

Orchard Robotics designs and sells (and may lease) advanced camera systems paired with AI-powered computer vision software to manage crop load in orchards. The system attaches to tractors or farm vehicles, capturing images of trees and using custom software to size and track visible fruit on every tree. This provides growers with precise data on fruit load, enabling informed decisions to optimize yield and fruit quality. Unlike generic surveillance or imaging tools, Orchard combines Cornell University–originated research with purpose-built hardware and software for per-tree fruit counting and tracking. The company’s goal is to help orchard operators improve crop yield and quality through data-driven farming, supported by direct sales or service contracts.

Company size
11-50
Company stage
Series A
Total funding
$26.4M
Headquarters
Seattle, WA
Founded
2022

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