Remote Data Entry Specialist for AI Training

Prolific; United States; Remote; USD 25,000 - 34,000; Part time

Job summary

Prolific is seeking Data Entry Specialists to join our Expert Network and help train AI models with real data expertise. You’ll undergo a short skills test, then participate in paid tasks valued up to $25 per hour. Tasks can be completed from home with flexible hours.

Ideal candidates have extensive data entry experience, high accuracy, fast typing speeds, and strong English communication. Multilingual skills are a plus for evaluating localized data quality.

Qualifications

• Years of experience in high-volume data entry, data processing, or records administration.
• Proven accuracy with large datasets and ability to spot inconsistencies.
• Fast typing speed and ability to handle structured and unstructured data without sacrificing quality.
• Strong written English and multilingual capabilities are a plus.

Responsibilities

• Evaluate AI data outputs for accuracy, completeness, and formatting consistency.
• Simulate data entry tasks with realistic edge cases and messy inputs.
• Audit AI-generated datasets for errors in categorisation or field mapping.
• Annotate and label data samples to train AI models to correct data structures.
• Quality assurance by comparing AI outputs to established data standards.

Skills

High-volume data entry

Data processing

Database management

Attention to detail

Speed and accuracy

Written English

Multilingual capabilities

Tools

Microsoft Excel

Google Sheets

Airtable

SQL

Access

CRM systems

ERP systems

Confluence

Notion

Job description

Prolific is seeking Data Entry Specialists to join our Expert Network and help train AI models with real data expertise. You’ll undergo a short skills test, then participate in paid tasks valued up to $25 per hour. Tasks can be completed from home with flexible hours.

Ideal candidates have extensive data entry experience, high accuracy, fast typing speeds, and strong English communication. Multilingual skills are a plus for evaluating localized data quality.