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Data Annotation

RYZ Labs

Remote position, ONLY for candidates based in ARGENTINA

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.

About RYZ Labs

RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.

Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.

At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.

Responsibilities

  • 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.

Requirements

  • 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

Preferred

  • 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.