Performs accurate data entry validation, and control processes while applying analytical techniques to ensure data integrity & support operational efficiency
Review and label up to 1,000 images per day using specialized software tools
Apply clear labels (such as object present or object not present) and add descriptive tags (like lighting conditions or image quality) based on detailed guidelines
Ensure all labels are applied consistently and accurately across large sets of images
Flag any unclear or confusing images for further review
Work closely with AI engineers and prompt designers to ensure the labeled data meets their needs
Help organize and prepare the labeled images for use in training and testing AI systems
Required Skills & Qualifications
Must possess a bachelor's degree of any field
Excellent written and verbal communication skills - Report issues and collaborate with technical teams
Excellent attention to detail and ability to follow strict labeling rules.
Basic understanding of how AI systems use labeled data to learn from images.
Ability to stay focused and accurate during repetitive tasks with minimum supervision
Ability to maintain positive relationships with business unit stakeholders
Willing to work on shifting schedules including weekends
Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
Summary Of Tools & Skills
Image Labeling Tools (e.g., CVAT, Label Studio) - Software used to draw boxes, tags, or notes on images for training AI
Vision-Language AI Awareness - Understanding how AI systems learn to connect images with text
Basic AI and Image Recognition Concepts - Helps you understand how your work improves AI performance
Prompt Engineering (Intro Level) - Knowing how written instructions (prompts) are used to guide AI behavior
Data Organization & Quality Checks - Ensuring labeled images are accurate, complete, and ready for AI training
Preferred Knowledge (Bonus)
Experience using image labeling tools such as CVAT, Label Studio, Roboflow, or similar platforms. Preferred but not required
Training or certification in data labeling or AI is a plus.
Awareness of AI systems that connect images and text, such as CLIP (Contrastive Language-Image Pretraining) or BLIP (Bootstrapped Language-Image Pretraining)
Basic understanding of prompt engineering, the process of writing instructions that guide AI behavior
Experience with organizing and checking the quality of large image datasets
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