Remote AI Data Quality Reviewer

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

Benefits offered by this job

Remote work

Pay up to $25/hour

Job summary

Prolific Academic Ltd is seeking meticulous, remote data reviewers to support AI training by checking AI-generated entries and structured records. This paid, project-based role begins with a short skills assessment; successful applicants may be invited to join the task network and work from anywhere with PayPal payments.

You will review high-volume data, identify duplicates and labeling issues, create realistic messy samples, and annotate data to help models learn quality standards.

Qualifications

• Professional experience in high-volume data entry, data processing, database administration, or records management.
• Strong accuracy and attention to detail when reviewing large datasets, including spotting inconsistencies and formatting errors.
• Efficient handling of structured and unstructured information without sacrificing quality.
• Familiarity with data formats and validation rules, and the judgment to recognize logical or factual errors in AI output.
• Written English sufficient to assess clarity and correctness of generated text.
• A PayPal account to receive payments.

Responsibilities

• Review AI-generated entries, extracted information, and structured records for accuracy, completeness, and formatting consistency.
• Identify problems such as duplicates, incorrect labels, field-mapping errors, and validation rule violations.
• Create realistic examples of messy, ambiguous, or conflicting data to test AI handling of records.
• Annotate and classify samples so models can learn data structures and quality standards.
• Compare generated results with professional data-entry practices and document issues using review criteria.

Skills

Data entry

Data processing

Records management

Attention to detail

Written English

Tools

Excel

Google Sheets

Airtable

SQL

Access

Job description

Prolific Academic Ltd is seeking meticulous, remote data reviewers to support AI training by checking AI-generated entries and structured records. This paid, project-based role begins with a short skills assessment; successful applicants may be invited to join the task network and work from anywhere with PayPal payments.

You will review high-volume data, identify duplicates and labeling issues, create realistic messy samples, and annotate data to help models learn quality standards.