Data Annotator
7 days ago
Role & responsibilities
- Watch and analyze video footage frame-by-frame.
- Accurately annotate people and relevant objects in the video.
- Identify and tag movements, activities, and interactions.
- Label specific events according to project guidelines.
- Ensure consistency, accuracy, and adherence to defined annotation standards.
- Collaborate with the project team to clarify rules, edge cases, and quality expectations.
- Meet daily or weekly annotation targets with high accuracy.
- Perform quality checks on annotated data and make corrections as required feedback and improve output.
Preferred candidate profile
- Education: Graduate in any discipline (any specialization accepted).
- Experience: Prior experience in video annotation, data labeling, or similar projects is an advantage.
- Freshers with strong observation skills may also apply.
- Training: Comprehensive training will be provided for both freshers and experienced candidates to align with project guidelines.
Technical Skills
- Basic computer literacy.
- Familiarity with annotation tools/software (training will be provided if required).
Soft Skills
- Strong attention to detail and observational skills.
- Ability to focus on repetitive tasks without compromising accuracy.
- Good communication skills and ability to follow structured guidelines.
Working Model
- Location: Work from Office
- Work Type: Fix 8 hrs. Shift with clear daily/weekly targets.
6:00 AM 2:00 PM.
2:00 PM 10:00 PM.
10:00 PM 6:00 AM.
Growth Opportunities
- Hands-on exposure to AI/ML and computer vision-based projects.
- Opportunity to work on varied video annotation assignments.
- Potential career progression to roles such as Quality Reviewer or Team Lead for annotation teams.
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