AI Training Data QA & Labeling Specialist (Remote)

prolificacademicltd

United States

Remote

USD 28,000 - 40,000

Full time

10 days ago

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Benefits offered by this job

Remote work
Flexible schedule

Job summary

prolificacademicltd is seeking contributors to review AI-generated entries and reviewed records for accuracy and consistency. You will work on labeling data, creating realistic examples, and identifying errors while following data quality rules.

Successful applicants may be invited to review generated records, label data, and assess how systems handle structured and messy inputs. This is a flexible, remote, task-based role with hourly pay.

Qualifications

  • Experience in high-volume data entry or records management.
  • Careful attention to duplicates, inconsistencies and formatting problems.
  • Ability to process structured and unstructured information efficiently without sacrificing accuracy.
  • Written English sufficient to assess clarity and correctness; a payment account is required.
  • Familiarity with data formats and validation rules; ability to spot factual or logical errors.

Responsibilities

  • Check AI-generated entries and extracted records for accuracy, completeness, and consistent formatting.
  • Create realistic examples involving ambiguous fields, conflicting information, or imperfect source data.
  • Identify categorization, labeling, and field-mapping errors in generated datasets.
  • Classify samples and compare outputs with data quality rules and professional standards.

Skills

Attention to detail
Written English
Data quality awareness

Tools

Excel
Google Sheets
Airtable
SQL
Access

Job description

prolificacademicltd is seeking contributors to review AI-generated entries and reviewed records for accuracy and consistency. You will work on labeling data, creating realistic examples, and identifying errors while following data quality rules.

Successful applicants may be invited to review generated records, label data, and assess how systems handle structured and messy inputs. This is a flexible, remote, task-based role with hourly pay.

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