Remote Database Administrator for AI Data QA

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

Benefits offered by this job

PayPal account

Flexible hours

Work from home

Job summary

Prolific is seeking a Database Administrator to join our Expert Network, helping train and evaluate AI models using real data expertise. You may be invited as a paid participant to train and evaluate powerful AI models.

Responsibilities include evaluating AI data outputs, simulating data entry tasks, auditing datasets, annotating data, and quality assurance to ensure consistency and accuracy across large datasets.

Qualifications

• Experience in high-volume data entry, data processing, or records administration.
• Proven accuracy across large datasets with attention to inconsistencies and formatting errors.
• Fast typing and ability to process structured and unstructured data quickly without sacrificing quality.
• Familiarity with data formats, validation rules, and identifying AI-generated errors.
• Strong written English skills to assess clarity and correctness in AI-generated text.
• Multilingual capabilities are a plus for evaluating data quality across locales.

Responsibilities

• Evaluate AI-generated data entries, extractions, and records for accuracy and completeness.
• Create realistic data entry scenarios to test AI handling of messy inputs.
• Audit AI-generated datasets for errors in categorisation, labeling, or field mapping.
• Tag and classify data samples to help AI models learn correct structures and validation rules.
• Ensure quality by comparing outputs to established data entry standards.

Skills

Data entry

Data processing

Database management

Quality assurance

Data literacy

Communication skills

Language proficiency

Tools

Excel

Google Sheets

SQL

Airtable

Access

CRM

ERP

Confluence/Notion

Job description

Prolific is seeking a Database Administrator to join our Expert Network, helping train and evaluate AI models using real data expertise. You may be invited as a paid participant to train and evaluate powerful AI models.

Responsibilities include evaluating AI data outputs, simulating data entry tasks, auditing datasets, annotating data, and quality assurance to ensure consistency and accuracy across large datasets.