Image Annotation Specialist

Responsibilities

• 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
• We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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