English-Speaking Personalized AI Response Evaluator

You will evaluate how well AI systems use information from connected applications to create personalized responses. Your reviews will cover relevance, accuracy, usefulness, and whether the response uses context appropriately.

You will follow evaluation guidelines and confidentiality requirements while writing clear, detailed feedback about the quality of each response.

• Review AI-generated responses based on personalized prompts and connected application context.
• Use information from email, calendar, photo, file, and business account activity during evaluations.
• Identify unsupported assumptions, incorrect personalization, inconsistencies, and irrelevant recommendations.
• Compare multiple responses and decide which gives the stronger user experience.
• Provide structured, well-reasoned feedback about response quality and retrieval accuracy.

What It Pays and Takes

Pay details are not provided in the role information. This is an entry-level, part-time contractor engagement that may continue for up to 16 weeks.

• Hours: 20 or more hours per week.
• Location: Open to candidates in Canada.
• Language: English communication skills are required.
• Experience: Entry level; previous AI evaluation, data annotation, content review, quality assurance, or analytical work is helpful but not required.
• Education: A bachelor's degree or equivalent practical experience in any field is expected.
• Applications: You should actively use common productivity or consumer applications and have enough account history for context-based evaluation.
• Privacy: You must be willing to connect eligible applications for personalized prompt evaluation and follow confidentiality requirements.
• Equipment: You need a reliable computer and internet connection and the ability to work independently.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind systems that generate and understand content. Evaluators review model responses, identify problems, and provide feedback that helps improve how AI handles real-world requests and context.