Education Professional AI Response Evaluator

You will help improve AI systems by creating education-focused prompts and reviewing large language model responses. Your work will use professional judgment to assess whether each response is accurate, relevant, useful, and aligned with the intended task.

The role is remote and primarily asynchronous. Assignments may vary over time based on the availability of suitable projects.

• Create prompts based on education and related professional situations.
• Review AI-generated responses for quality, relevance, and task alignment.
• Apply knowledge from education, special education, career and technical education, or archival work.
• Provide careful, informed judgments about professional language and real-world task performance.
• Work independently in an asynchronous project setting.

What it pays and takes

This role is open to candidates in the United States. The listed work commitment is 20 or more hours per week, with flexible participation as assignments become available.

• Pay: Up to $75 per hour.
• Work type: Remote, part-time contract project work.
• Location: Open to candidates in the United States.
• Language: Fluent in English.
• Experience: At least five years of professional experience in a qualifying education or archival role.
• Relevant backgrounds include career or technical education teaching, middle or preschool special education teaching, secondary school career or technical education teaching, and archival work.
• You must be able to assess professional language and real-world tasks from an education-sector perspective.
• You must be able to participate reliably in primarily asynchronous work.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people find AI training and data-labeling projects, build a profile, and start applications.

About AI training work

AI training is the human work behind systems that learn from examples, including writing prompts and rating model responses. People with professional experience are needed to judge whether AI outputs match the language, standards, and real-world needs of a specific field.