Act as a secondary data-entry layer to correct and validate existing records. Review automated ingestions for errors, manually fix dirty data found during QA, document data entry errors to improve scraping tools, and maintain logs of all changes to the master dataset.
Description: Acts as a secondary layer of data entry, focusing on correcting and validating existing records to ensure platform reliability.
Responsibilities:
Review automated data ingestions for errors or formatting anomalies.
Manually correct "dirty data" found during routine quality assurance audits.
Document data entry errors to help improve automated scraping tools.
Maintain logs of all changes made to the master data set.
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