Talent
Folio’s AI Research Fellowship provides students, experts, and professionals the opportunity to earn money by contributing their knowledge to train and improve frontier AI—no AI experience required.
You will be building the next generation of AI in your field of expertise or interest. The type of work will depend on the project, but tasks may include:
- Writing or refining prompts for LLMs to evaluate their responses
- Evaluating model outputs (choosing the best response, ranking responses, or writing your own)
- Assessing accuracy, fairness, or domain-specific reasoning
Wages vary by project, between $15-$200/hr
The Folio AI Fellowship helps you gain hands-on experience developing frontier AI models that aim to make medicine more accessible and unbiased. It strengthens your ability to apply emerging technologies to real-world healthcare challenges, advancing both your technical expertise and your impact as a future medical professional.
Yes, there is no AI experience required! After completing your profile and confirming your identity, you will have access to training modules where you can learn the essential skills needed to succeed in data annotation.
Each job application may also include training and assessments specific to the project.
- Current or graduated bachelor’s, master’s, or doctorate students.
- Working professionals with demonstrable expertise in their field.
The first part of the application is quick and easy: fill out some basic information, share your resume, and verify your identity.
The latter half of the application is evaluative. When you apply for a job, you will take a practice task which mirrors actual tasks that are part of the project. Once you pass, you will be invited to join projects that match your area of expertise or interest.
All information you share is secure, and will never be shared or sold. It is only used to confirm your identity and strengthen your candidacy.
Timelines can vary widely. Some candidates are matched with a project within a week of applying, while others may wait longer depending on their background and experience.
Project selection depends on specific project requirements, and Folio does not control project availability or duration. Once a project opens up, we review all available candidates to find the best match.