Database Administrator - Graduates - AI Training - Zapopan, Mexico

Role overview Use practical database and records experience to help assess and improve AI systems that handle structured information. Work is offered as paid participant tasks after a brief skills assessment; tasks may involve a focused hour of uninterrupted work, while many are shorter.

Responsibilities - Review AI-generated records and data extractions for accuracy, completeness, and consistent formatting. - Create sample data-entry cases, including ambiguous or conflicting inputs, to probe model performance. - Check datasets for errors in categorization, labels, or field mapping and report findings against quality guidelines. - Annotate and classify examples so models can learn data structures and validation rules. - Compare model outputs with professional data-entry standards and flag inconsistencies.

Requirements - Professional experience in high-volume data entry, data processing, database administration, or records management. - Strong accuracy and attention to detail when working with large datasets, including spotting duplicates and formatting problems. - Ability to process structured and unstructured information efficiently without sacrificing quality. - Familiarity with data formats and validation rules, and the judgment to identify factual or logical errors in AI outputs. - Written English skills sufficient to assess clarity and correctness; a payment account is required to receive task compensation.

Nice to have - Experience with spreadsheets or database tools such as Excel, Google Sheets, Airtable, SQL, or Access; CRM, ERP, and document management systems; or documentation platforms. - Additional language skills, especially for reviewing localized data.

Benefits and work setup Tasks are flexible and remote. The listing indicates that some researchers may pay up to $25 per hour; rates and task availability can vary. A short, 10- to 15-minute assessment is used to determine suitability before invitation to participate.