We are ZoomAgri, an Agricultural Tech startup that develops solutions for
the entire agricultural supply chain. Via computer vision and artificial
intelligence, we perform quality assessment in real-time. On a single
kernel basis, we classify grain varieties, identify quality defects (broken,
damaged, sprouted, green kernels, foreign matter, others) and estimate
sieving digitally.
Qualifications & experience
- At least 3 years of experience or campaigns as grain sampler – visual recognition of cereal grains such as barley and wheat.
- GTA or GIWA Standard Certification (preferred)
- The right person needs to be proactive, organized, and eager to learn and develop in new technologies
- Basic computer skills
- Work Autonomously
- Quick learner
- Attention to detail
Tasks & responsibilities
- Assisting in the development of ZoomSpex groundbreaking technology for post-harvest grain analysis.
- Classification of samples according to GIWA or Grain Trade Australian Standards (skinnings, broken, foreign matter, etc.)
- Identify grain quality generating data to calibrate equipment
- Logistics coordination of shipments, reception, and validation of received samples.
- Organizing, labeling, and scanning samples.
- Applying the correct procedures for operating a receival site/storage facility.
- Communicating with clients to standardize criteria according to current regulations.
If this sounds like a job, you will enjoy please apply by sending a covering letter introducing yourself along with your resume to:
Nicolas Martelli: nicolas.martelli@zoomagri.com