Data Annotation Intern (Full-time)

About the role

We are looking for a detail-oriented, full-time Data Annotation Intern to prepare high-quality image datasets for computer vision models used in industrial defect detection. You will work closely with our AI team, annotating and classifying images of real products from manufacturing lines. The quality of your work will directly affect how accurately our models detect defects.

Key responsibilities

• Image annotation: annotate images using segmentation, polygons, bounding boxes and classification labels, as required for each project.
• Defect labelling: identify and label defects such as scratches, dents, cracks, contamination and missing features, following project guidelines.
• Quality checks: review your own and others annotations for accuracy and consistency.
• Dataset management: organise, name and maintain datasets in a structured way for model training.
• Coordination: work with the AI team to understand annotation guidelines and flag unclear or edge cases.
• Reporting: share daily progress and maintain records of completed work.

Requirements

• Education: a completed degree in any discipline is preferred (B.Sc, BCA, B.Tech, B.Com or similar). Final-year students who can commit full-time may also apply.
• Experience: prior experience with data annotation or labelling is required.
• Tools: familiarity with annotation tools such as CVAT, Label Studio, Roboflow or LabelImg.
• Attention to detail: a sharp eye for small visual differences and the patience for repetitive, precise work.
• Computer skills: comfortable working with files, folders and spreadsheets.
• Availability: must be available full-time, 10 AM to 7 PM, Monday to Friday.
• Stipend: 13,000 to 16,000 per month, based on experience.