Remote AI Data Entry & QA Specialist

Prolific; United States; Remote; USD 21,000 - 34,000; Full time

Benefits offered by this job

PayPal payments

Flexible hours

Work from home

Job summary

Prolific is seeking Data Entry Specialists to join our Expert Network for training and evaluating AI models using real data expertise. You’ll complete quick skill tests and, if selected, join as a participant to get paid for AI training tasks.

Responsibilities include evaluating AI data outputs, simulating data entry scenarios, and auditing datasets for accuracy and consistency. Strong English and data literacy are essential; multilingual skills are a plus.

Qualifications

• Experience in high-volume data entry and data processing.
• Proven accuracy with large datasets and noise handling.
• Fast, precise typing while maintaining quality.
• Familiarity with data formats, validation rules, and error checking.
• Strong written English communication for data assessment.
• Multilingual ability is a plus for evaluating localized data.

Responsibilities

• Evaluate AI-generated data entries for accuracy and formatting.
• Create data entry scenarios to test AI handling of messy inputs.
• Audit AI-derived datasets for errors in labeling and field mapping.
• Tag and classify samples to support data quality standards.
• Ensure outputs meet professional data entry standards.

Skills

Data entry experience

Accuracy & attention to detail

Typing speed / efficiency

Data literacy

Written English communication

Multilingual capabilities

Tools

Microsoft Excel

Google Sheets

Airtable

SQL

Access

CRM platforms

ERP systems

Document management tools

Job description

Prolific is seeking Data Entry Specialists to join our Expert Network for training and evaluating AI models using real data expertise. You’ll complete quick skill tests and, if selected, join as a participant to get paid for AI training tasks.

Responsibilities include evaluating AI data outputs, simulating data entry scenarios, and auditing datasets for accuracy and consistency. Strong English and data literacy are essential; multilingual skills are a plus.