Education Professional for AI Research Project

Education professionals apply classroom, instructional, and archival expertise to create industry-specific prompts and evaluate large language model responses for an ongoing AI research program. You will help improve how AI systems understand real-world professional tasks and language across education-related settings.

• Develop and refine prompts that reflect real-world education tasks and scenarios.
• Review and evaluate LLM outputs for accuracy, relevance, and appropriateness to the prompt and professional context.
• Provide detailed feedback and annotations that help researchers improve model behavior.
• Collaborate asynchronously with research teams, following project guidelines and quality standards.
• Contribute to a range of tasks that may include content creation, error identification, and contextual clarification across different projects.

• Minimum 5 years of work experience in one or more of the following roles: Career/Technical Education Teacher, Middle School; Career/Technical Education Teacher, Secondary School; Special Education Teacher, Preschool; Archivist.
• Able to perform primarily asynchronous work in coordination with AI research teams.
• Experience translating professional practice into clear written instructions or evaluations is preferred.

• Location: Remote, work from anywhere.
• Employment type: Part-time.
• Schedule: Flexible hours, asynchronous contribution. There is no minimum hourly commitment.
• Project placement depends on project availability, projects open periodically throughout the year.

• Pay: Up to $75/hr (depending on the project).

• F-1 students who are eligible for CPT or OPT may be eligible to participate, subject to your school and Designated School Official guidance.
• If your school requires enrollment in a CPT course for CPT authorization, this program may not meet that requirement.
• STEM OPT is not supported.

• Create a candidate profile and submit required information.
• Complete identity verification as requested.
• Select and complete onboarding for projects that match your expertise.
• Begin assignments and receive compensation according to project terms.