About the role - We are looking for detail-oriented Egocentric Video Annotators to support Physical AI data initiatives. You will work with first-person videos captured in industrial and commercial environments, converting real-world human activities into structured, high-quality datasets used to train and evaluate AI models.

Key responsibilities

- Perform temporal action segmentation by identifying activity start and end timestamps.
- Assign accurate action labels based on observed human activities.
- Write concise, descriptive captions for actions, objects, and hand movements.
- Identify left-hand and right-hand actions, object interactions, and task progression.
- Follow annotation guidelines and maintain consistency across video segments.
- Review annotations for timestamp accuracy, completeness, and label correctness.




- Meet daily productivity and quality targets while adhering to project SOPs.
- RequirementsExperience in video annotation, image labeling, or other data annotation projects is preferred.
- Strong attention to detail and the ability to observe activities frame by frame.
- Valuable written English and the ability to describe actions clearly and accurately.
- Basic understanding of timestamps, action sequences, and object interactions.
- Ability to follow detailed guidelines and work with structured annotation tools.
- Familiarity with industrial, manufacturing, automotive, or assembly workflows is an advantage.
- Immediate joiners preferred.

📌 Egocentric Video Annotator (India)
🏢 Arctic Engines
📍 India