Database Administrator - Graduates - AI Training - Durango, Mexico

Role overview Contribute database and records expertise to the training and evaluation of AI systems through paid, project-based tasks. Work may involve reviewing generated records, testing how models handle difficult inputs, and labeling examples against data quality standards. Applicants complete a short skills assessment before they can be invited to participate.

Responsibilities - Check AI-generated entries and extracted data for accuracy, completeness, and consistent formatting. - Identify classification, labeling, and field-mapping errors in generated datasets, and record issues against quality guidelines. - Create realistic examples of messy, ambiguous, or conflicting records to test model behavior. - Label and classify samples to reinforce data structures and validation rules. - Compare outputs with professional data-entry standards and flag inconsistencies.

Requirements - Professional experience in high-volume data entry, data processing, database management, or records administration. - 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 while maintaining quality. - Familiarity with data formats and validation rules, and ability to recognize logical or factual errors in AI outputs. - Written English sufficient to assess clarity and correctness. - A PayPal account to receive task payments.

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

Benefits and work setup Tasks are paid, with rates varying by project; the listing says some researchers may pay up to $25 per hour. Some tasks require an uninterrupted hour, though shorter tasks may also be available. Work is described as flexible and remote, subject to available assignments.