Database Administrator - Graduates - AI Training - Strasbourg, France

Overview

Database Administrator - Graduates - AI Training. Prolific is building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with diverse experiences, knowledge, and skills.

What you'll bring

• Professional 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 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 errors.
• Communication 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 PayPal account to receive payment from our clients

What you'll be doing in the role

• Evaluate 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 Technologies

• Data 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.