Engineering Doctoral Fellow for AI Model Training

Engineering experts apply doctoral-level engineering knowledge to design domain-specific prompts, evaluate large language model outputs for technical correctness and clarity, and contribute to improving AI behavior across engineering disciplines.

• Develop and refine domain-specific prompts and evaluation tasks for LLMs, including test cases that probe technical depth and real-world applicability.
• Assess LLM responses for accuracy, relevance, clarity, completeness, and potential safety or bias concerns, and provide detailed feedback.
• Conduct independent research on engineering topics, using AI tools as an aid, and synthesize findings to inform evaluations and prompt design.
• Document results, create examples and counterexamples, and communicate asynchronous feedback to research teams.
• Learn new skills while contributing subject-matter expertise to projects across engineering subfields.

• Doctoral students, doctoral candidates, recent PhD graduates, or postdoctoral researchers in Engineering.
• Comfortable working primarily asynchronously and collaborating remotely with AI research teams.
• Confident that your subject-matter expertise can outperform current AI systems in explaining and reasoning about key engineering concepts.

• Part-time, fully remote, asynchronous engagement.
• Flexible scheduling with no minimum hours required.
• Year-round program intake, however project placement depends on availability and will vary by engineering domain.

Up to $80/hr (depending on the project)

• Work authorization restrictions apply. F-1 students who are eligible for CPT or OPT may be eligible to participate, but you must confirm eligibility with your Designated School Official.
• If your school requires enrollment in a CPT course as a condition of CPT authorization, this program may not meet that requirement.
• STEM OPT is not supported for participation in this program.

Register for an account, complete identity verification, select and onboard into projects that match your expertise, and then begin contributing to projects and receiving payment for completed work.