Posted:3 days ago|
Platform:
Remote
Temporary
LabelNest, founded in 2025, is a Data Solutions startup specializing in high-quality
annotation services and research intelligence. We enable AI and business intelligence teams
to build smarter systems through precise, reliable, and scalable data operations. Our mission
is to empower AI innovation through data precision and integrity.
Role Overview
LabelNest is hiring dedicated and detail-oriented Annotators for a Video Skeleton
Annotation project. This role involves labeling and tagging human body movements,
skeletal points, and postures in videos to support AI and machine learning model
development in human motion and activity analysis.
Type: Contractual Job (Work from Home)
Duration: 3 Months (Extendable up to 1 Year based on performance)
Working Hours: 8 Hours/Day (Monday – Saturday)
Shift: Night Shift Preferred
Estimated Project Hours: 1,000 – 1,500 hours**
Monthly Pay: ₹10,000**
Key Responsibilities
1. Annotate human skeletal points, body movements, and postures in videos with
accuracy and consistency.
2. Follow detailed project guidelines and maintain annotation quality.
3. Achieve a daily target of 200 images while maintaining precision.
4. Review and verify annotations to ensure accuracy.
5. Coordinate with the quality assurance team for feedback and updates.
6. Manage time effectively to meet project deadlines and productivity standards
Requirements
1. Must have a valid Aadhaar card.
2. Must submit an updated resume during the application process.
3. Basic computer operating knowledge is sufficient — no prior experience
required.
4. Must have a stable internet connection and a personal laptop/desktop (mandatory
for WFH).
5. Ability to meet daily targets and maintain annotation consistency.
6. Good communication skills and comprehension in English or Indian languages.
7. Willingness to work in a night shift (preferred).
What We Offer
Work from Home: Flexible and convenient setup.
Experience Certificate upon successful completion.
Extendable Duration: Up to 1 year based on performance.
Opportunity to gain practical experience in AI-based video annotation and
data labeling
Interested candidates can also send their resume to hr@labelnest.in
LabelNest Data Labs
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