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