Data Reviewer

The Data Reviewer holds a critical role within the Monadata platform, responsible for ensuring the accuracy, quality, and integrity of annotated data. Given the importance of this role, Data Reviewers are required to meet specific qualifications and standards. Here’s a detailed breakdown of their responsibilities:

Eligibility and Qualification:

• Data Reviewers must have high credits within the Monadata system, which serves as a measure of their experience, reliability, and quality of work.

• Additionally, they are required to complete a KYC (Know Your Customer) process to verify their identity and professional credentials. This step ensures that only qualified professionals who possess the necessary skills and expertise are allowed to review and validate data annotations.

Quality Assurance:

• The primary responsibility of a Data Reviewer is to examine the annotations made by Data Annotators meticulously. They check for accuracy, relevance, and adherence to the predefined guidelines

• Data Reviewers focus on reviewing data that exhibits significant differences in the annotation results. This selective review process ensures that only the most critical cases are escalated for professional validation, optimizing the efficiency and effectiveness of the review process.

Data Reviewers are rewarded with tokens and credits for their critical role in maintaining data quality. Their compensation reflects the importance of their work and the expertise required to perform it.