07 Aug
|
Recognized
|
New Delhi
07 Aug
Recognized
New Delhi
- Support critical data annotation tasks for AI models aimed
at improving healthcare outcomes, specifically in child
anthropometry and growth monitoring.
- Review videos and/or images and annotate specific features
related to:
- Video quality
- Video content
- Identification and marking of different objects within videos/images
- Evaluate videos against predefined quality criteria to
determine validity, including:
- Video errors and quality issues
- Child/baby -related concerns
- Lighting and shadow issues
- Presence of other individuals in the frame
- Problems with reference objects
- Errors in capturing the movement trajectory or arc
- Perform additional annotation or validation tasks as
required by the project.
Requirements
Educational Qualification
- Bachelor’s degree in any relevant discipline from a
recognized university.
- Candidates with backgrounds in life sciences, computer
science, healthcare, or related fields will be preferred.
Experience
Essential:
- 0–3 years of experience in image/video annotation, quality
review, or data labelling projects.
- Familiarity with annotation tools and attention to detail in
reviewing visual data.
Preferred Skills
- Good observation skills and ability to identify
errors/inconsistencies in images and videos.
- Robust communication and interpersonal skills.
- Prior exposure to AI/ML or healthcare -related projects,
particularly child health, anthropometry, or growth monitoring,
is an advantage.