#49426 Video Annotation & Data Labeling Project

Triwill Group

India

On-site

INR 201,000 - 357,000

Full time

9 days ago

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Job summary

Triwill Group is seeking contributors for a partner-based Video Annotation & Data Labeling project based in India. Join a long-term AI data initiative focused on turning video content into high-quality training data.

You'll work on video captioning, timeline segmentation, action labeling, and AI-generated content verification, following strict guidelines to ensure accuracy, consistency, and productivity. Structured onboarding and certification are provided.

Qualifications

  • Attention to detail with objective on-screen description.
  • Ability to follow strict annotation guidelines.
  • Good quality and productivity mindset.

Responsibilities

  • Annotate video data according to established guidelines.
  • Create captions and segment timelines precisely.
  • Label actions and verify AI-generated content on screen.
  • Maintain high accuracy and consistency during work.

Job description

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a #49426 Video Annotation & Data Labeling Project based in India.

Join a long-term AI data project focused on transforming video content into high-quality training data for advanced AI systems.
You will work on video captioning, timeline segmentation, action labeling, and AI-generated content verification.
The role requires exceptional attention to detail and the ability to describe only what can be objectively verified on screen.
You will follow precise annotation guidelines while maintaining strong accuracy, consistency, and productivity.
Successful contributors can gain priority access to more advanced and higher-paid AI data projects.
The project provides structured onboarding and certification to help you master the required workflows and quality standards.
It is an opportunity to contribute directly to the development and improvement of next-generation AI models while working within a quality-focused environment.

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