Database Administrator – Graduates – AI TrainingWe are looking for a Database Administrator to join our Expert Network and help train and evaluate cutting‑edge AI models using real data expertise. Successful candidates will complete a brief assessment and, upon passing, will be invited to participate in paid tasks evaluating AI models.Researchers typically pay up to $25 per hour for tasks that may require one hour of uninterrupted work, though many are shorter.What You'll BringProfessional Experience:years of experience in high-volume data entry, data processing, database management, or records administration.Accuracy & Attention to Detail:a proven track record of maintaining high accuracy rates across large datasets, with a sharp eye for inconsistencies, duplicates, and formatting errors.Speed & Efficiency:high typing speed and the ability to process structured and unstructured data quickly without sacrificing quality.Data Literacy:familiarity with data formats, validation rules, and the ability to identify when AI-generated outputs contain logical or factual munication Skills:solid written English skills sufficient to assess clarity and correctness in AI-generated text.Language Proficiency:multilingual capabilities are a significant plus,



especially for evaluating data quality across localized datasets.A Pay Pal account to receive payment from our clients.What You'll Be Doing in the RoleEvaluate AI Data Outputs:review AI-generated data entries, extractions, and structured records for accuracy, completeness, and formatting consistency.Simulate Data Entry Tasks:create realistic data entry scenarios and edge cases to test how AI handles messy inputs, ambiguous fields, or conflicting records.Audit AI-Generated Datasets:review AI-produced data for errors in categorisation, labelling, or field mapping, and flag issues against standard data quality rubrics.Annotation & Labelling:tag and classify data samples to help AI models learn correct data structures, formats, and validation rules.Quality Assurance:compare AI outputs against established data entry standards to ensure they meet professional accuracy and consistency benchmarks.Key TechnologiesData Tools:proficiency with Microsoft Excel, Google Sheets, or database platforms such as Airtable, SQL, or Access.Data Management Systems:experience with CRM platforms, ERP systems, or document management tools.Documentation:familiarity with Confluence, Notion, or similar platforms for referencing data standards and internal guidelines.

📌 Database Administrator - Graduates - Ai Training - Seville, Spain (Zaragoza)
🏢 Prolific
📍 Zaragoza