AI Development Intern: Data, Vision & 3D Modeling

PT SMART Tbk

Jakarta Pusat

On-site

IDR 33,480,000 - 50,220,000

Part time

9 hours ago
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Job summary

PT SMART Tbk invites a fresh graduate or undergraduate student to join a 12-month internship in Jakarta Pusat, Indonesia. You will support AI model training for the Interrow Inspection project and analyze plantation data to advance Smart Grading, Smart Manuring, and Smart Harvesting initiatives.

The role also involves designing 3D models and animations for Estate Mechanization projects and collaborating with cross-functional teams to implement AI across plantation operations.

Qualifications

  • Fresh graduate or active undergraduate student in CS/IT/AI/Data Science or related majors.
  • Available for a 12-month internship (January–December 2026).
  • Basic understanding of AI, ML, CV, or data analytics; Python for data processing.
  • Experience with AI frameworks such as TensorFlow, PyTorch, OpenCV is an advantage.
  • Familiarity with 3D design/animation software (Blender, SolidWorks, AutoCAD) is a plus.

Responsibilities

  • Support AI model training and development for the AI Interrow Inspection project.
  • Process and analyze plantation data from pilot estates to support AI initiatives.
  • Design and develop 3D models and animations for Estate Mechanization projects.
  • Collaborate with project teams to support AI implementation and rollout across operations.

Skills

Python
Analytical thinking
Communication
Team collaboration

Education

Fresh graduate or undergraduate (CS/IT/AI/Data Science etc.)

Tools

TensorFlow
PyTorch
OpenCV
Blender
AutoCAD

Job description

PT SMART Tbk invites a fresh graduate or undergraduate student to join a 12-month internship in Jakarta Pusat, Indonesia. You will support AI model training for the Interrow Inspection project and analyze plantation data to advance Smart Grading, Smart Manuring, and Smart Harvesting initiatives.

The role also involves designing 3D models and animations for Estate Mechanization projects and collaborating with cross-functional teams to implement AI across plantation operations.

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