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OpenTrain AIFor AI Companies

Healthcare AI Training Expert (Remote, Part-Time)

Apply clinical expertise to improve healthcare AI by reviewing protocols, auditing virtual hospital workflows, and creating case simulations. Remote contract role for MDs, RNs, or healthcare admins with 5–10+ years' experience; pay $40–$65/hr, ~10–20 hrs/week.

OpenTrain AI

Medical Health

Remote Hourly · $40–$65/hr

$40–$65/hr

Compensation

3 countries

Eligibility

Expert

Experience

Jun 29, 2026

Posted

Open to applicants in

United States Canada United Kingdom

Interested in this role?

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About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help professionals discover AI training projects, build a unified portfolio, and grow a durable freelance career working on real-world AI tasks.

We connect domain experts with projects that need human insight to teach and evaluate AI systems. This listing is for OpenTrain, recruiting healthcare professionals to shape clinical AI behavior and safety.

Why AI training work matters

AI training is the human side of building intelligent systems: experts annotate data, evaluate model outputs, and craft examples that teach models how to reason. These roles are often fully remote, flexible, and accessible—letting clinicians contribute part time while having direct impact on how healthcare AI performs.

The role

We are hiring a Healthcare AI Training Expert to provide high-quality, expert review and feedback on clinical content used to train and evaluate healthcare AI. You will apply clinical, administrative, or research experience to improve model outputs, validate workflows, and develop realistic medical scenarios.

  • Employment type: Contract / Part-time.
  • Time commitment: At least 10+ hours/week; generally less than 20 hours/week.
  • Data work: Text-focused tasks including evaluation/rating and data collection.
  • (project-specific tools).

What you'll do

  • Evaluate, review, and provide expert feedback on clinical treatment protocols and healthcare documentation.
  • Analyze and audit virtual hospital operations, patient documentation, and workflow scenarios for accuracy and realism.
  • Develop, critique, and refine case studies, simulations, and medical decision-making content used to train models.
  • Document findings and recommendations clearly and precisely for technical teams and project leads.
  • Collaborate with a distributed, global team to align clinical guidance with project objectives.

Requirements

  • Advanced degree (MD, RN, or equivalent) in medicine, nursing, or healthcare administration.
  • Minimum of 5–10+ years of clinical practice, hospital administration, or relevant healthcare experience.
  • Proven expertise with clinical treatment protocols, clinical research, or hospital operational audits.
  • Exceptional written and verbal communication skills in English.
  • Strong attention to detail, organization, and commitment to error-free work.
  • Comfort working in diverse remote teams and communicating with technical stakeholders.

Helpful background & who should apply

Ideal candidates include Clinical Directors, Senior Registered Nurses, Healthcare Administrators, or clinicians with prior experience in simulation, digital health projects, or clinical data analysis.

  • Preferred locations: applicants in the US, Canada, or the UK; the role description also notes candidates across Europe or LATAM as potentially relevant.
  • Experience running multidisciplinary teams, auditing hospital operations, or designing clinical simulations is a plus.
  • This is an expert-level role—apply if you want to influence how healthcare AI reasons and makes recommendations.

Compensation, logistics, and next steps

Pay is hourly: $40–$65 per hour (projects paid per hour; top rate up to $65/hr). This is contract, part-time work with flexible scheduling to fit around clinical or personal commitments.

  • Minimum weekly commitment: around 10+ hours; most contributors work under 20 hours/week.
  • Language: English required.
  • Locations: role is not worldwide; primary countries listed: US, CA, GB.
  • How to apply: create an OpenTrain account, build your profile highlighting clinical experience, and submit for this OpenTrain project so project leads can review your qualifications.