Remote AI Evaluation Specialist: Quality Feedback

YO AI Labs; Ottawa; Remote; CAD 42,000 - 68,000; Part time

Job summary

YO AI Labs is seeking an AI Evaluation Specialist to assess and improve AI assistant outputs for an enterprise training project. This remote contractor role focuses on applying rubrics for accuracy, relevance, and adherence to guidelines, with feedback that informs system improvements.

You will work independently on large datasets, identify gaps, document findings, and participate in rubric refinement to ensure fair and consistent evaluations across languages and use cases.

Qualifications

• Experience in grading, quality assurance, editorial review, assessment, or similar analytical work.
• Advanced daily use of AI assistants such as ChatGPT, Claude, or similar tools.
• Strong ability to analyze complex information and communicate findings clearly in writing.
• Experience with process improvement, rubric development, or quality assessment.
• Strong critical-thinking skills with a focus on consistency, accuracy, and fairness.

Responsibilities

• Evaluate AI-generated outputs against detailed rubrics for accuracy, relevance, quality, and adherence to guidelines.
• Apply consistent and objective judgment across large volumes of examples.
• Identify reasoning gaps, tool-use issues, logical errors, and inconsistencies.
• Provide concise, actionable feedback highlighting strengths and areas for improvement.
• Participate in discussions around rubric interpretation and evolving quality standards.
• Contribute to process improvements and evaluation best practices.
• Maintain accurate documentation of evaluations and recommendations.

Skills

Grading

Quality assurance

Editorial review

Assessment

Annotation

Tools

ChatGPT

Claude

AI tools

Job description

YO AI Labs is seeking an AI Evaluation Specialist to assess and improve AI assistant outputs for an enterprise training project. This remote contractor role focuses on applying rubrics for accuracy, relevance, and adherence to guidelines, with feedback that informs system improvements.

You will work independently on large datasets, identify gaps, document findings, and participate in rubric refinement to ensure fair and consistent evaluations across languages and use cases.