AI Data Quality Analyst (Remote & Flexible)

prolificacademicltd; United States; Remote; USD 28,000 - 40,000; Full time

Benefits offered by this job

Flexible remote work

PayPal payments

Job summary

Prolific Academic Ltd is seeking contributors to review AI-generated records and assist in training AI systems. The role involves high-volume data entry, quality checks, and labeling to ensure data quality across structured and unstructured data. Tasks are project-based and paid per assignment, with some studies paying up to $25 per hour.

Applicants should have strong accuracy, attention to detail, and experience working with datasets. Remote work is available, and payments are made via PayPal.

Qualifications

• Professional experience in high-volume data entry, data processing, database management, or records administration.
• Strong accuracy and attention to detail when working with large datasets, including spotting duplicates and formatting problems.
• Ability to process structured and unstructured information efficiently while maintaining quality.
• Familiarity with data formats and validation rules, and ability to recognize logical or factual errors in AI outputs.
• Written English sufficient to assess clarity and correctness.
• A PayPal account to receive task payments.

Responsibilities

• Check AI-generated entries and extracted data for accuracy, completeness, and consistent formatting.
• Identify classification, labeling, and field-mapping errors in generated datasets, and record issues against quality guidelines.
• Create realistic examples of messy, ambiguous, or conflicting records to test model behavior.
• Label and classify samples to reinforce data structures and validation rules.
• Compare outputs with professional data-entry standards and flag inconsistencies.

Skills

Data entry

Data processing

Database management

Records administration

Attention to detail

English proficiency

Tools

Excel

Google Sheets

Airtable

SQL

Access

Confluence

Notion

Job description

Prolific Academic Ltd is seeking contributors to review AI-generated records and assist in training AI systems. The role involves high-volume data entry, quality checks, and labeling to ensure data quality across structured and unstructured data. Tasks are project-based and paid per assignment, with some studies paying up to $25 per hour.

Applicants should have strong accuracy, attention to detail, and experience working with datasets. Remote work is available, and payments are made via PayPal.