Data Annotator

• 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.
  
• Strong communication and interpersonal skills.
  
• Prior exposure to AI/ML or healthcare-related projects, particularly child health, anthropometry, or growth monitoring, is an advantage.