Database Administrator - Graduates - AI Training - Glasgow, UK

Role overview Use database and records-management expertise to help assess and improve AI systems through paid, task-based work. Assignments focus on whether generated records are accurate, complete, consistently formatted, and aligned with data-quality standards. Candidates complete a short skills assessment before being invited to take part.

Responsibilities - Review AI-generated entries, extracted information, and structured records for accuracy and completeness. - Create realistic data-entry examples, including ambiguous or conflicting inputs, to evaluate how models handle them. - Check datasets for classification, labelling, and field-mapping errors, and record findings against quality criteria. - Annotate and classify samples to reinforce appropriate data structures and validation rules. - Compare model outputs with established data-entry standards and flag inconsistencies.

Requirements - Professional experience in high-volume data entry, data processing, database administration, 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 without compromising quality. - Familiarity with data formats and validation rules, and the judgment to identify factual or logical errors in AI outputs. - Written English sufficient to assess clarity and correctness; a PayPal account is needed 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. - Additional language skills, especially for reviewing localized data.

Benefits and work setup Tasks are paid, with advertised rates of up to $25 per hour; rates may vary by assignment. Some tasks require one uninterrupted hour, though many are shorter. Work is described as flexible and remote, subject to available assignments.