Clinical Health AI Training Specialist

You will support clinical healthcare AI evaluation by reviewing source materials, clinical charts, healthcare simulations, and model outputs. You will use project rubrics to judge accuracy, safety, completeness, and clinical reasoning.

Your written feedback will help improve model behavior. The work also requires consistent decisions across repeated reviews and clear explanations of how you reached each conclusion.

• Write or improve expert responses and explain your reasoning clearly.
• Review clinical source materials and AI outputs against project guidelines.
• Identify missing information, unsafe actions, conflicting records, and documentation gaps.
• Evaluate clinical terminology, medical necessity, coding accuracy, payer requirements, and regulatory standards.
• Maintain consistent quality during structured review cycles and calibration work.

Compensation is handled through the project budget fields shown for this role. The role is structured as flexible part-time contract work, with a minimum schedule of four hours per day and up to 40 hours per week.

You do not need prior AI training experience. The work requires strong professional knowledge in a relevant clinical or health discipline, recent practice, active credentials, and the ability to produce clinically defensible written conclusions.

• Schedule: At least 4 hours per day and up to 40 hours per week.
• Availability: At least 20 hours per week, including 4 hours of overlap with Pacific Standard Time.
• Location: Open worldwide.
• Language: Professional English for clinical review and written feedback.
• Experience: About 3 to 15 or more years of demonstrable professional experience in a relevant clinical or health discipline.
• Recent practice: Current or recent work within the last three years in a clinical, hospital, payer, laboratory, behavioral-health, revenue-cycle, or quality setting.
• Credentials: An active PT, OT, SLP, RN, RD or RDN, LCSW, PharmD, MD, DO, or other applicable professional license, board certification, or recognized credential.
• Skills: Clinical reasoning, chart review, documentation, written communication, careful record interpretation, and attention to detail.
• Preferred knowledge: United States clinical guidelines, payer policies, regulatory requirements, and healthcare workflows.
• Relevant experience may include acute-care rehabilitation, swallow evaluation, nutrition support, diabetes education, utilization management, prior authorization, payer appeals, medical coding, CDI, infection prevention, NHSN reporting, medication reconciliation, addiction medicine, emergency medicine, or EMS medical direction.
• Specialist credentials may include BCPS, BCCCP, CIC, CPHQ, CPPS, CCS, CPC, CDIP, CCDS, CDCES, ABEM, ABPN, ABPM, or an equivalent credential.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human review behind systems that learn from examples, expert answers, and clear feedback. Clinical professionals help make these systems more accurate and safer by applying real-world judgment to healthcare content.