Image Annotation Specialist

Key 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.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .

Please read our Candidate Privacy Policy .

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights .