ph3Data Entry Clerk – Graduates – AI Training /h3 h3The role /h3 pWe're looking for bData Entry Specialists /b to join our Expert Network to help train and evaluate cutting‑edge AI models using real data expertise. If you have the necessary experience, we'll send you a quick 10‑ to 15‑minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. /p pResearchers looking for your skills tend to pay up to b$25 per hour /b. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. /p h3What you’ll bring /h3 ul libProfessional Experience: /b years of experience in high‑volume data entry, data processing, database management, or records administration. /li libAccuracy Attention to Detail: /b a proven track record of maintaining high accuracy rates across large datasets, with a sharp eye for inconsistencies, duplicates, and formatting errors. /li libSpeed Efficiency: /b high typing speed and the ability to process structured and unstructured data quickly without sacrificing quality. /li libData Literacy: /b familiarity with data formats, validation rules, and the ability to identify when AI‑generated outputs contain logical or factual errors. /li libCommunication Skills: /b solid written English skills sufficient to assess clarity and correctness in AI‑generated text. /li libLanguage Proficiency:



/b multilingual capabilities are a significant plus, especially for evaluating data quality across localized datasets. /li liA PayPal account to receive payment from our clients. /li /ul h3What you’ll be doing in the role /h3 ul libEvaluate AI Data Outputs: /b review AI‑generated data entries, extractions, and structured records for accuracy, completeness, and formatting consistency. /li libSimulate Data Entry Tasks: /b create realistic data entry scenarios and edge cases to test how AI handles messy inputs, ambiguous fields, or conflicting records. /li libAudit AI‑Generated Datasets: /b review AI‑produced data for errors in categorisation, labelling, or field mapping, and flag issues against standard data quality rubrics. /li libAnnotation Labelling: /b tag and classify data samples to help AI models learn correct data structures, formats, and validation rules. /li libQuality Assurance: /b compare AI outputs against established data entry standards to ensure they meet professional accuracy and consistency benchmarks. /li /ul h3Key Technologies /h3 ul libData Tools: /b proficiency with Microsoft Excel, Google Sheets, or database platforms such as Airtable, SQL, or Access. /li libData Management Systems: /b experience with CRM platforms, ERP systems, or document management tools. /li libDocumentation: /b familiarity with Confluence, Notion, or similar platforms for referencing data standards and internal guidelines. /li /ul /p #J-18808-Ljbffr

📌 Data Entry Clerk - Graduates - AI Training - Barcelona, Spain
🏢 Prolific
📍 Barcelona