Remote QA Engineer - AI Data Quality & Evaluation

YO AI Labs

New York (NY)

Remote

USD 34.000 - 69.000

Teilzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

YO AI Labs is seeking detail-oriented QA Engineers to support an AI training project focused on quality assurance, data annotation, and AI model evaluation. This contractor position is remote, offering flexible hours and opportunities to contribute to cutting-edge AI evaluation workflows.

Applicants should have a solid foundation in software QA, data labeling, and documenting results, with English communication at least at a B2 level to coordinate across teams.

Qualifikationen

  • Experience in software testing and quality assurance.
  • Understanding of test planning and defect reporting.
  • Experience with data annotation, RLHF, or AI evaluation is preferred.
  • Strong analytical, documentation, and communication skills.

Aufgaben

  • Design and execute test cases to validate AI outputs.
  • Review, annotate, and label datasets.
  • Identify errors and inconsistencies in model predictions.
  • Document test results and provide actionable feedback.
  • Collaborate with teams to improve testing methodologies.
  • Recommend improvements to data quality and model performance.

Kenntnisse

Software Quality Assurance
Test Planning and Test Case Design
Data Annotation and Labeling
AI Model Evaluation
Defect Reporting and Documentation
Data Quality and Validation
Analytical Thinking and Attention to详情
English Communication (B2 or higher)

Jobbeschreibung

YO AI Labs is seeking detail-oriented QA Engineers to support an AI training project focused on quality assurance, data annotation, and AI model evaluation. This contractor position is remote, offering flexible hours and opportunities to contribute to cutting-edge AI evaluation workflows.

Applicants should have a solid foundation in software QA, data labeling, and documenting results, with English communication at least at a B2 level to coordinate across teams.

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