Intern AI & Data science

Jobtorob

United States

On-site

USD 27,552 - 41,328

Full time

14 days+

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Job summary

A leading agri-tech company in the United States is seeking an AI & Data Science Intern to join their innovative team. This role offers a unique opportunity for students to gain hands-on experience in computer vision and robotics while contributing to sustainable agriculture. Ideal candidates should be data science or AI students with a keen interest in computer vision and an adaptive mindset. The role includes mentorship and opportunities to work on real-world projects in agricultural robotics.

Qualifications

  • A data science or AI student with an interest in computer vision and robotics.
  • Some experience with computer vision is preferred.
  • An adaptive mindset with strong problem-solving skills.

Responsibilities

  • Hands-on experience with computer vision and AI algorithms.
  • Opportunity to contribute to real-world agricultural robotics projects.
  • Mentorship and guidance from experienced AI and robotics engineers.

Skills

Computer vision
Problem-solving
Adaptability

Education

Data science or AI student

Job description

Pixelfarming Robotics is hiring an enthusiastic AI & Data Science Intern to join our innovative team. This role offers a unique opportunity for students to gain hands‑on experience in computer vision and robotics while contributing to sustainable agriculture. Ideal candidates will be curious, adaptive, and eager to develop practical solutions for plant detection and structure recognition. Explore exciting careers and employment opportunities with a company at the forefront of agri‑tech innovation. Perfect for those searching for jobs near me in a multidisciplinary and collaborative environment.

Requirements for the candidate:

  • A data science or AI student with an interest in computer vision and robotics.
  • Some experience with computer vision is preferred.
  • An adaptive mindset with strong problem‑solving skills.
  1. Hands‑on experience with computer vision and AI algorithms.
  2. Opportunity to contribute to real‑world agricultural robotics projects.
  3. Mentorship and guidance from experienced AI and robotics engineers.
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