Remote AI Quality Evaluator – Contractor

YO AI Labs; Montreal (administrative region); Remote; CAD 41,000 - 76,000; Part time

Job summary

YO AI Labs is seeking an AI Evaluation Specialist (Contractor) to remotely assess enterprise AI outputs. You will score responses against rubrics, identify issues, and provide actionable feedback to improve AI systems.

No prior AI experience is required, making this an accessible entry point for analytical professionals. The role involves high-volume evaluation, independent work, and collaboration to refine evaluation criteria and best practices within a flexible, remote setup across multiple

Qualifications

• Experience in grading, quality assurance, editorial review, assessment, annotation, or similar analytical work.

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

Quality evaluation

Editing & annotation

Rubric interpretation

Written communication

Process improvement

Independent work

Collaboration

Tools

ChatGPT

Claude

Job description

YO AI Labs is seeking an AI Evaluation Specialist (Contractor) to remotely assess enterprise AI outputs. You will score responses against rubrics, identify issues, and provide actionable feedback to improve AI systems.

No prior AI experience is required, making this an accessible entry point for analytical professionals. The role involves high-volume evaluation, independent work, and collaboration to refine evaluation criteria and best practices within a flexible, remote setup across multiple