AI Data QA & DB Auditor - Remote, Flexible Hours

prolificacademicltd; United States; Remote; USD 21,000 - 34,000; Part time

Benefits offered by this job

Remote work

Flexible hours

Job summary

Prolific Academic Ltd is offering a flexible, task-based contributor role focused on reviewing AI-generated data entries and labeling to improve data quality. Tasks are paid and may include up to hourly rates for certain assignments.

The work is remote with flexible hours, suitable for candidates in the United States with an account on a supported payment service. Ideal for individuals with experience in data entry, data processing, and quality control; attention to detail is essential.

Qualifications

• Experience with high-volume data entry or data processing.
• Careful, accurate work with large datasets; identify duplicates and inconsistencies.
• Efficient handling of both structured and unstructured data; maintain quality.
• Familiarity with data formats and validation rules; catch logical or factual AI output issues.
• Written English sufficient to judge clarity and correctness.
• Must have an account with a supported payment service to receive payments.

Responsibilities

• Check generated data entries, extractions, and structured records for accuracy and formatting.
• Tag and classify examples to help systems learn data structures and validation rules.
• Audit datasets for errors in categorization, labels, or field mappings and flag issues.
• Create realistic test scenarios including messy inputs or conflicting records.
• Assess generated results against professional data-entry standards for consistency and accuracy.

Skills

Attention to detail

High-volume data entry

Data processing

Records administration

Written English

Tools

Excel

Google Sheets

Airtable

SQL

Access

Job description

Prolific Academic Ltd is offering a flexible, task-based contributor role focused on reviewing AI-generated data entries and labeling to improve data quality. Tasks are paid and may include up to hourly rates for certain assignments.

The work is remote with flexible hours, suitable for candidates in the United States with an account on a supported payment service. Ideal for individuals with experience in data entry, data processing, and quality control; attention to detail is essential.