AI Health Specialist - Medical & Clinical Contributor

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We're looking for US-based, practicing physicians to contribute to health-focused AI training projects at scale. General medicine is our main focus, and specialists (cardiology, radiology, and other tracks) are also welcome. While each project involves unique tasks, contributors may:

• Annotate and evaluate AI-generated health content: review responses to clinical questions, assess medical accuracy and safety, and label outputs against clear quality criteria;
• Create complex, realistic tasks that push frontier AI agents to their limits. Think scattered patient data, conditional clinical procedures, and genuine diagnostic reasoning required;
• Build a detailed version with objective scoring, then write an ambiguous version intended to train the agent to succeed with less hand-holding. Real clinical complexity only. You're improving the AI tools you'll eventually use yourself.

We're also expanding into adjacent clinical roles: nurses, psychologists, dietitians, and similar licensed professionals.

If you're a practicing clinician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based medical professionals open to part-time, non-permanent projects. Ideally, contributors will have:

• A degree in Medicine, or a degree in a related field (nursing, psychology, dietetics, etc.) with clinical training that includes diagnosing and managing medical conditions;
• A current, valid US license to practice (medical license for physicians; the relevant state license for adjacent roles, such as RN, licensed psychologist, or RDN);
• Active clinical practice, with 3+ years of hands-on clinical experience (board certification is a plus);
• Strong written English (C1+);
• We welcome more experienced individuals, including specialists and senior practitioners.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.