Review educational AI responses, verify sources, find errors, and write clear annotations that improve model quality. This remote, 16-week contractor project requires 20 hours weekly and strong English writing.
The work
As an Educational AI Response Evaluator, you will help improve AI-generated educational content. You will research information, assess whether responses are accurate and useful, identify mistakes, and explain your decisions clearly.
The role combines online research, logical analysis, concise writing, and careful evaluation of educational material.
- Research online sources and verify information used in educational content.
- Analyze complex content and logical problems.
- Summarize research in clear, concise language.
- Review AI-generated responses and identify or correct errors.
- Write explanations and annotations that support model improvement.
What it pays and takes
This is an entry-level, part-time contractor project. The provided details show a compensation rate of $30 per hour, while the role description states $20 per hour, so confirm the current rate during the application process.
- Contract length: 16 weeks.
- Hours: 20 hours per week required, with eligibility for up to 40 hours per week.
- Schedule: Includes four hours of overlap with Pacific Time.
- Location: Fully remote and open worldwide.
- Language: English.
- Required: Strong research, reasoning, analytical, writing, and summarization skills.
- Required: An existing Gemini account with genuine prior use and at least 10 relevant conversations about learning, education, research, projects, exam preparation, or skill development.
- Helpful: A completed or in-progress bachelor's degree.
- Helpful: Experience in research, analysis, writing, editing, translation, journalism, data, or a related field.
- Students and working professionals are welcome to contribute.
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 answers, images, and other content. Evaluators review model output, check it against reliable information, and provide feedback that helps AI produce more accurate and useful responses.