The Role The Trainer will be responsible for delivering the Basic Data Annotation curriculum to students through classroom sessions, practical demonstrations, hands-on exercises, and project-based learning. The trainer will prepare learners for entry-level careers in AI data annotation.

Responsibilities:

- Train students in image, text, audio, and basic video annotation techniques, including image classification, tagging, bounding box annotation, text labeling, and audio classification.

- Conduct practical training on industry-standard annotation tools such as CVAT, Label Studio, and other relevant platforms, enabling students to build proficiency in real-world annotation workflows.

- Teach annotation standards, quality assurance (QA), data validation, productivity improvement techniques,



ethical data handling, and privacy practices to ensure the creation of high-quality AI datasets.

- Design, administer, and evaluate assignments, practical exercises, assessments, and capstone projects, providing constructive feedback to enhance learner performance.

Qualification:

- Bachelor's degree in Computer Science, IT, AI, Data Science or related field.

- 1 to 3 years' experience in data annotation or AI data operations.

- Hands-on experience with data annotation tools such as CVAT, Label Studio, Labelbox, or similar platforms will be an added advantage.

📌 Trainer/Educator: Basic Data Annotation (Mandi)
🏢 IIT Mandi iHub and HCI Foundation
📍 Mandi