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Advance frontier AI models in healthcare

Contribute your intelligence to shape the future of healthcare. Match with remote, flexible AI jobs aligned with your expertise.

Join a community of 30k+ professionals, experts and students from top institutions
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Testimonial Section

Benefits

Earn competitively for your work

$15-$200+ /hr, project dependent

Contribute your expertise

Shape the future of healthcare AI models using your domain knowledge

Build skills, boost your resume

Collaborate with other experts and gain AI fundamentals certification

Research Projects

RLHF
Generate preference pairs that reflect real clinical reasoning. Our experts evaluate response quality based on clinical accuracy, safety, and adherence to standard of care in real care settings—not just fluency.

Typical outputs: Ranked response pairs, detailed preference rationales, clinical accuracy scores, identification of hallucinated clinical facts
Rubrics & Verifiers
Transform complex clinical protocols into structured evaluation criteria your models can learn from. We convert unstructured clinical knowledge into measurable verification tasks.

Typical outputs: Structured rubrics, verification test sets, inter-rater agreement baselines, edge case documentation
Safety & Red‑Teaming
Models fail in surprisingly human ways: a triage suggestion that downplays red‑flag symptoms, or a draft note that quietly invents an allergy. We work with med students, nurses, residents, and other clinicians‑in‑training to probe for these failure modes, map them into patterns, and give your teams concrete targets for hardening guardrails before they touch patients or staff.

Typical outputs: Categorized safety failures, severity scoring, reproduction steps, mitigation recommendations, adversarial test sets
Multimodal
Modern clinical data spans formats: progress notes reference imaging findings, waveforms explain treatment changes, pathology images inform diagnoses. We annotate text, images, audio, and signals together—the way clinicians actually integrate information.

Typical outputs: Cross-modal annotations, linked reasoning chains, multimodal quality scores, format-specific error analysis

Frequently asked questions

What is the Folio AI Research Fellowship?

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.

What type of work will I be doing?

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.

How much can I earn?

Wages vary by project between $15-$200/hr

How will this support my career goals?

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.

Will I get any training?

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.

Who is eligible?

Current or graduated bachelor’s, master’s, or doctorate students.
Working professionals with demonstrable expertise in their field.

How do I apply?

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.

Is personal information I share in the application secure?

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.

How long will it take for me to hear back about my 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.

Help shape the future of healthcare

Become a Folio AI Research Fellow to contribute your expertise & make healthcare more accessible, effective and unbiased.