Video Data Annotator

About the role

iMerit Technology is hiring Video Data Annotators for a remote AI training initiative. Your keen eye for detail will help shape the future of machine learning by labeling video footage accurately and consistently.

Key responsibilities

• Watch and analyse video clips to identify relevant content, ensuring each frame is examined thoroughly.
• Precisely label human actions, objects, and significant events within the footage, adhering to the project's detailed annotation guidelines.
• Follow established project protocols and scoring rubrics to ensure consistency across all annotated data, maintaining high accuracy.
• Meet quality and productivity benchmarks set for the annotation tasks, delivering a steady volume of work within deadlines.
• Escalate unclear or ambiguous instances and provide constructive feedback to the project team, helping refine annotation standards.

Required profile

• Exceptional attention to detail, ensuring no aspect of the video is overlooked.
• Ability to consistently follow complex and detailed instructions, applying them accurately to each annotation task.
• Strong written communication skills for feedback and issue reporting, enabling clear documentation of any uncertainties.
• Self‑discipline and capability to work independently in a remote environment, managing time effectively without direct supervision.