Database Administrator - Graduates - AI Training - San Luis Potosí, Mexico

Bring hands‑on data and records experience to the review and improvement of AI systems that work with structured information. The opportunity is task‑based and flexible: applicants complete a short suitability assessment, and those who pass may be invited to perform paid review, testing, and labeling work. Some assignments call for up to an hour of uninterrupted attention, while others take less time.

• Evaluate AI‑generated entries, extracted data, and structured records for correctness, completeness, and formatting.
• Label and classify data samples to reinforce appropriate structures and validation practices.
• Inspect generated datasets for categorization, labeling, or field‑mapping problems and report findings using quality criteria.
• Construct realistic test cases with unclear, conflicting, incomplete, or untidy source information.
• Check outputs against established benchmarks for accuracy and consistency.

• Experience in database administration, records administration, data processing, or high‑volume data entry.
• Demonstrated precision with large datasets and care in identifying duplicates, inconsistencies, and formatting issues.
• Ability to work quickly with structured and unstructured data while preserving accuracy.
• Knowledge of data formats and validation rules, plus sound judgment when assessing logical or factual errors in generated content.
• Clear written English for evaluating wording and correctness.
• A supported payment account to receive compensation for assignments.

• Proficiency in more than one language, especially for evaluating localized data.
• Familiarity with spreadsheet or database applications such as Excel, Google Sheets, Airtable, SQL, or Access, and with CRM, ERP, document management, or documentation tools.

Assignments can be completed remotely with flexible hours. Pay depends on the task; some research assignments are described as paying up to $25 per hour. A short assessment is required before contributors can be considered for tasks.