Top Tech Jobs & Startup Jobs in Montreal

As a QA Annotator, review and evaluate AI-generated content for quality, ensuring accuracy while labeling based on project guidelines, and providing constructive feedback.

As a QA Annotator, you will review data for AI projects, ensure quality control, and provide structured feedback on content accuracy.

As a QA Annotator, you will review data, ensure quality assurance, label content, and flag inappropriate material on AI projects.

As a QA Annotator, you will review data, ensure quality control, classify content, and identify inaccuracies in AI-generated material.

As a QA Annotator, you will review data, ensure quality control, label content, and identify issues in AI-generated outputs. This role involves freelance, project-based tasks focused on advancing AI technology.

As a Freelance QA Annotator, review AI-generated content for quality assurance, ensuring factual accuracy and proper labeling of data. Engage in project-based tasks involving data review and feedback.

The role involves reviewing data, ensuring quality control on submissions, labeling content, and identifying inaccuracies, primarily in AI-related projects.

The QA Annotator role involves reviewing data and ensuring quality control on AI projects, labeling content, and providing constructive feedback. Projects are task-based and depend on active opportunities.

As a QA Annotator, review and assess data quality for AI projects, ensuring accuracy and compliance with project guidelines while providing feedback.

As a QA Annotator, you will review and ensure the quality of AI-generated content, label data, and provide constructive feedback. Project-based work varies depending on availability.