Multimodal Data Annotator; Image & Video

Position: Multimodal Data Annotator (Image & Video)
Role Overview
In this role, you will contribute to training AI models by reviewing, labeling, and tagging visual content. The position requires strong attention to detail, strict adherence to quality guidelines, and the ability to work with sensitive or NSFW content while maintaining complete confidentiality and professionalism.

Key Responsibilities
Review, annotate, label, and tag image and video data according to defined guidelines
Work with sensitive or   NSFW content in a professional and compliant manner
Maintain high levels of accuracy, quality, and consistency in all annotations
Follow project instructions and quality standards while meeting productivity targets
Support the development of reliable, high-quality AI training datasets
Eligibility Criteria
Graduate degree or higher (candidates currently pursuing studies are not eligible)
Open to both freshers and experienced professionals
Strong English reading and writing skills
High attention to detail and ability to follow guidelines carefully
Comfortable working with sensitive content when required

Selection Process
Candidates will be required to successfully complete the following stages:
LLM Assessment
HR Interview Round
Versant English Assessment
Interview with the Project Team

Additional Information
This is a  freelancing role  and does not include full-time employment benefits