Jobs · OTHR

Medicine Expert - Freelance AI Trainer

Mindrift · Virginia, United States · 3 wk ago
RemoteRemoteOTHR$55/hrPart-time

About the role

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

Responsibilities

  • 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.
  • Contribute to improving the AI tools you’ll eventually use yourself.
  • Opportunity to work on adjacent clinical roles (nurses, psychologists, dietitians, and similar licensed professionals).

Requirements

  • Degree in Medicine, or a degree in a related field (nursing, psychology, dietetics, etc.) with clinical training that includes diagnosing and managing medical conditions.
  • 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).

Skills

  • Strong written English (C1+).

Pay

Compensation is paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $55/hr. Because payment is per approved task, a faster pace raises your effective hourly rate.

Schedule

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.

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