Machine Learning Annotation Intern

• 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.