Remote AI Quality Evaluator

YO AI Labs; Lisboa; Remote; EUR 31,000 - 49,000; Part time

Job summary

YO AI Labs is seeking an AI Evaluation Specialist (contractor) to assess enterprise AI outputs against detailed rubrics, measuring accuracy, relevance, quality, and guideline adherence. You will provide concise, actionable feedback to help improve AI systems and maintain thorough documentation of evaluations.

Ideal candidates have experience in grading, quality assurance, editorial review, or annotation, plus comfort with high-volume tasks and clear written communication using tools such as

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 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.
• Maintain accurate documentation of evaluations and recommendations.

Skills

Quality evaluation

Analytical thinking

Editorial review

Process improvement

Written communication

Tools

ChatGPT

Claude

Job description

YO AI Labs is seeking an AI Evaluation Specialist (contractor) to assess enterprise AI outputs against detailed rubrics, measuring accuracy, relevance, quality, and guideline adherence. You will provide concise, actionable feedback to help improve AI systems and maintain thorough documentation of evaluations.

Ideal candidates have experience in grading, quality assurance, editorial review, or annotation, plus comfort with high-volume tasks and clear written communication using tools such as