Machine Learning Annotation Intern

Job Title: Machine Learning Annotation Intern

Department: Technical Operations

Location: Indore (On-site)

Experience: Fresher / 0–1 Year

Company: Robro Systems

Website: www.robrosystems.com

About Robro Systems

Robro Systems is a fast-growing innovator in AI-powered automation and machine vision, specializing in web inspection solutions for technical textiles. Our flagship product, the Kiara Web Inspection System, enables manufacturers to achieve real-time defect detection, improve operational efficiency, and enhance quality control. At Robro, we are driven by Vision, Intelligence, and Control.

Role Overview

We are looking for a dynamic and motivated Machine Learning Annotation Intern to join our AI & Computer Vision team. The successful candidate will play a crucial role in supporting our machine learning projects by annotating and labeling image and video datasets for training, validation, and testing. This role offers an excellent opportunity to gain hands-on experience in Machine Learning, Computer Vision, and AI technologies while working with cutting-edge solutions such as YOLO for industrial automation applications.

Key Responsibilities

• Annotate and label image and video datasets for Machine Learning and Computer Vision model training.
  • Ensure high-quality and accurate annotations in accordance with project guidelines.
  • Validate and review annotated datasets to maintain consistency and quality.
  • Support dataset preparation for YOLO-based object detection and Computer Vision models.
  • Collaborate with the Machine Learning team to understand project goals and annotation guidelines.
  • Use annotation tools to perform labeling tasks efficiently.
  • Maintain annotation quality by following SOPs and quality standards.
  • Participate in team meetings and provide insights into the annotation process.
  • Maintain proper documentation related to annotation activities and project progress.
  • Continuously learn new AI tools, annotation techniques, and best practices.

  Requirements

Must-Have Qualifications

• B.E./B.Tech/MCA in Engineering, Computer Science, Electronics, or related technical discipline.
  • 0–1 year of experience in Machine Learning Annotation, Data Annotation, Computer Vision, or AI-related projects. Freshers are encouraged to apply.
  • Strong understanding of Machine Learning annotation concepts.
  • Familiarity with annotation tools and methodologies.
  • Basic understanding of Computer Vision, Object Detection, and YOLO concepts.
  • Good analytical and problem-solving skills & teamwork skills.
  • Strong attention to detail with a commitment to producing high-quality work.

  Preferred

• Basic programming skills in Python, C++.
  • Basic knowledge of Ubuntu/Linux operating system.
  • Familiarity with annotation tools such as CVAT, Labellmg, Label Studio, Roboflow, or similar platforms.
  • Exposure to Machine Learning, Deep Learning, or Computer Vision projects.
  • Understanding of image processing, data validation, and quality assurance processes.
  • Willingness to learn new technologies, AI workflows, and support tools.