Note: The job is a remote job and is open to candidates in USA. Prolific is building the biggest pool of quality human data in the world, catering to AI developers and researchers. They are seeking Data Entry Specialists to help train and evaluate AI models by reviewing and processing data for accuracy and quality assurance.

Responsibilities

• 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

Skills

• Years of experience in high-volume data entry, data processing, database management, or records administration
• A proven track record of maintaining high accuracy rates across large datasets, with a sharp eye for inconsistencies, duplicates, and formatting errors
• High typing speed and the ability to process structured and unstructured data quickly without sacrificing quality
• Familiarity with data formats, validation rules, and the ability to identify when AI-generated outputs contain logical or factual errors
• Solid written English skills sufficient to assess clarity and correctness in AI-generated text
• A PayPal account to receive payment from our clients
• Proficiency with Microsoft Excel, Google Sheets, or database platforms such as Airtable, SQL, or Access
• Experience with CRM platforms, ERP systems, or document management tools
• Familiarity with Confluence, Notion, or similar platforms for referencing data standards and internal guidelines
• Multilingual capabilities are a significant plus, especially for evaluating data quality across localized datasets

Benefits

• Competitive pay rates
• Flexible hours
• Ability to work from home

Company Overview