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documentation qa machine learning ai data quality

πŸ“‹ Description

  • Design, execute, and document test cases and scenarios to validate AI-generated outputs against
  • Review, annotate, and label datasets to improve the accuracy and quality of machine learning model
  • Evaluate and analyze model predictions to identify inconsistencies, errors, and recurring patterns.
  • Report findings clearly and recommend improvements that enhance data quality and model performance.
  • Collaborate with cross-functional teams to communicate results, raise questions, and clarify
  • Contribute to the development and refinement of testing methodologies for AI-driven systems.

🎯 Requirements

  • Practical experience in software quality assurance, including test planning and defect reporting.
  • Strong analytical skills and attention to detail when reviewing test results, datasets, and model
  • Ability to identify inconsistencies, investigate issues, and communicate findings clearly.
  • Proficiency in English at B2 level or above to support collaboration and written reporting.
  • Strong written documentation skills and the ability to work independently while coordinating with

🎁 Benefits

  • Competitive hourly compensation: $63–$120 per hour.
  • Remote flexibility: Work remotely from eligible locations worldwide, subject to project
  • Contract type: Freelance / independent contractor.
  • Contract duration: 12 months.
  • Working hours: 40 hours per week.
  • Start date: As soon as possible.
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