← Back to all opportunities
AI & DataRemoteactive

Data Quality Specialist

Join our data quality team to review, validate, and improve datasets used in machine learning projects.

Responsibilities

  • ✓Review data samples for quality and consistency
  • ✓Identify and flag data issues
  • ✓Suggest improvements to data collection
  • ✓Document quality metrics

Required skills

Data QualityData LabelingAttention to Detail
  • ✓Eye for detail
  • ✓Understanding of data quality concepts
  • ✓Comfortable with spreadsheets and databases
  • ✓Problem-solving skills

Application process

  1. 1Submit your application with your profile and relevant experience.
  2. 2We review your background against the project requirements.
  3. 3Qualified candidates are contacted to discuss scope and terms.
  4. 4Agreed terms are confirmed in writing before work begins.

Compensation and availability may vary by project and eligibility. Final terms are confirmed in writing before any work begins.

Similar opportunities

Flexible AI Work for Engineers

Part-time AI training and evaluation projects that fit around a full-time job. Choose tasks that suit your schedule, skills, and interests.

View details →

AI Response Evaluator

Help evaluate and improve AI model responses through structured feedback.

View details →

Data Annotator

Label and annotate data for machine learning model training.

View details →