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Mindrift invites medical professionals to contribute to health-focused AI training projects. US-based clinicians with clinical licenses participate on a part-time, non-permanent basis, evaluating AI-generated health content and creating realistic training tasks.
Candidates should have strong English skills and active clinical practice. Projects are flexible in time commitment, approximately 10–20 hours per week during active phases.
Mindrift connects specialists with project-based AI opportunities for leading tech companies focused on testing evaluating and improving AI systems. Participation is project-based.
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.
This opportunity is a good fit for US-based medical professionals open to part-time, non-permanent projects. Ideally, contributors will have:
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.