Clinical & Health Specialist (English)

You will support Clinical Healthcare AI Evaluation by reviewing clinical charts, healthcare simulations, source materials, and model outputs. Your feedback will help assess whether AI responses are accurate, safe, complete, and supported by the available records.

The work uses benchmark rubrics and structured review cycles. You will explain your reasoning clearly and maintain consistent judgments across repeated evaluation tasks.

• Write or improve expert responses and explain the reasoning behind your conclusions.
• Review source materials and AI model outputs against project guidelines.
• Interpret fragmented medical records and reconcile conflicting information.
• Identify missing information, unsafe actions, documentation gaps, medical necessity issues, coding errors, and payer or regulatory concerns.
• Explain evaluation decisions clearly so feedback can improve AI behavior.
• Maintain quality and consistency during standardized review and calibration work.

This is contract, part-time work. Compensation is handled through the project budget for the role.

The role is marked entry level, but the project requires substantial clinical or healthcare experience and an active professional credential.

• Schedule: At least 4 hours per day and up to 40 hours per week.
• Availability: At least 4 hours of overlap with Pacific Standard Time.
• Work location: Open worldwide.
• Language: Fluent in English.
• Time commitment: 20 or more hours per week.
• Experience: About 3 to 15 or more years of demonstrable professional experience in one or more relevant clinical or health disciplines.
• Recent practice: Current or recent work within the past 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.
• Core skills: Strong clinical reasoning, chart review, documentation, written communication, attention to detail, and the ability to produce clinically defensible conclusions.
• Standards: Ability to work with clinical terminology, patient safety requirements, medical necessity, coding accuracy, payer requirements, regulatory standards, structured rubrics, and fast-paced calibration.
• Preferred knowledge: Familiarity with US clinical guidelines, payer policies, regulatory requirements, and healthcare workflows. Reference materials may be supplied for contributors working outside the United States.
• Specialist 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 qualification.

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find this role and start your application; it does not employ or pay contributors for the project.

AI training is the human work behind systems that learn from examples, reviews, and written feedback. Healthcare specialists are needed because accurate clinical judgment, safety awareness, and knowledge of professional standards help evaluate whether AI responses are useful and responsible.