Remote AI Training Data QA Analyst

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

Job summary

Prolific Academic Ltd is seeking individuals to contribute to AI training tasks by reviewing and enhancing database records. You will examine AI-generated entries for accuracy, identify quality issues, and provide clear examples to improve model reliability.

This is remote, project-based work with payment per task and possible invitation to join the task network. Entry begins with a short skills assessment; successful applicants may access more assignments.

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 both 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 the 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 consistent formatting.
• Identify problems such as duplicates, incorrect labels, field-mapping errors, and failures to follow validation rules.
• Create realistic examples of messy, ambiguous, or conflicting data to assess how AI handles them.
• 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 the applicable review criteria.

Skills

Data entry

Data processing

Quality review

Tools

Excel

Google Sheets

Airtable

SQL

Access

Job description

Prolific Academic Ltd is seeking individuals to contribute to AI training tasks by reviewing and enhancing database records. You will examine AI-generated entries for accuracy, identify quality issues, and provide clear examples to improve model reliability.

This is remote, project-based work with payment per task and possible invitation to join the task network. Entry begins with a short skills assessment; successful applicants may access more assignments.