Remote AI Data Quality Specialist

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

Benefits offered by this job

Flexible remote work

Hourly pay up to $25

Short pre-screening assessment

Job summary

Prolific Academic Ltd is seeking contributors to review AI-generated records and assist in improving data quality across large datasets. The role involves evaluating structured and unstructured inputs, identifying inconsistencies, and creating varied sample cases to test AI handling of imperfect data.

Successful candidates will perform high-volume data tasks from a remote setting, with English-writing proficiency required for clarity judgments.

Qualifications

• Experience in high-volume data entry, data processing, database administration, or records management.
• Strong accuracy and attention to detail when working with large datasets.
• Ability to process structured and unstructured information efficiently while maintaining quality.
• Familiarity with data formats, validation, and ability to recognize logical or factual mistakes in AI outputs.
• Written English skills sufficient to judge clarity and correctness; a payment account is required.

Responsibilities

• Check AI-generated records, extracted data, and structured entries for accuracy, completeness, and consistent formatting.
• Create sample data-entry cases, including ambiguous or conflicting information, to assess how AI handles imperfect inputs.
• Identify and report categorization, labeling, and field-mapping errors in generated datasets.
• Annotate and classify examples using relevant data structures and validation rules.
• Compare model outputs with established data-quality standards and flag discrepancies.

Skills

High-volume data entry

Data processing

Records management

Attention to detail

English writing 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 improving data quality across large datasets. The role involves evaluating structured and unstructured inputs, identifying inconsistencies, and creating varied sample cases to test AI handling of imperfect data.

Successful candidates will perform high-volume data tasks from a remote setting, with English-writing proficiency required for clarity judgments.