Card Identification & Data Annotation Specialist
RYZ Labs
Card Identification & Data Annotation Specialist
RYZ Labs
Nearshore AI engineering for enterprises.
RYZ Labs is looking for a Card Identification & Data Annotation specialist to join the team of one of our clients, working on innovative technology for sports and trading card identification.
In this role, you will help ensure that card information is accurate, consistent, and reliable. You will review and validate data, identify discrepancies, and work closely with internal teams to help improve the quality of the product.
This is a great opportunity for someone detail-oriented, curious, and comfortable working with data, with an interest in sports, trading cards, or collectibles.
Review and verify card information and data.
Identify inconsistencies, errors, or missing information.
Validate data using internal tools and online resources.
Help maintain high standards of accuracy and quality.
Research and resolve questions or unusual cases.
Collaborate with internal teams to clarify information and improve processes.
Adapt to different data and annotation tasks as projects evolve.
Strong attention to detail and accuracy.
Comfortable working with data and repetitive tasks while maintaining consistency.
Good research and problem-solving skills.
Strong written and verbal English communication.
Comfortable using online tools and learning new platforms.
Interest in sports, trading cards, collectibles, or similar areas is a plus.
Availability to work during US Eastern Time business hours or with significant overlap.
Previous experience in data annotation, data entry, quality assurance, content moderation, research, or similar roles.
Knowledge of sports, trading cards, or collectibles.
No technical or software engineering background is required. Training will be provided on the tools and processes used in the role.
Ryz Labs builds AI products for enterprises and platform companies by embedding senior Latin American AI engineers in a forward-deployed, nearshore model. They provide teams that design, build, and ship production AI apps, agents, and data products, primarily on Azure and other major clouds, working in US time zones. Clients include Univision, Fanatics, Serve Robotics, and Vayo Travel. The service lets clients hire senior LatAm AI engineers or full nearshore AI development teams in weeks rather than months. Their goal is to help enterprise customers accelerate AI product development with distributed, experienced teams that integrate with the client’s existing tech stack.
Explore more opportunities at RYZ Labs