Clinical Health AI Training Specialist

OpenTrain AI, Inc.; United States; Remote; USD 28,000 - 50,000; Part time

Job summary

OpenTrain AI, Inc. seeks a contract, part-time Clinical Healthcare AI Evaluation reviewer in the United States. Remote work with at least 4 hours per day and 20+ hours per week is required, along with current clinical credentials and English fluency.

You will review clinical charts, simulations, and AI outputs, explain your reasoning, and maintain consistent judgments to ensure safe and accurate AI feedback aligned with project guidelines.

Qualifications

• Active professional clinical license in one or more relevant fields.
• Current credentials and ability to practice clinically.
• Experience reviewing clinical records and coding where applicable.

Responsibilities

• Review clinical charts, simulations, materials, and AI outputs using rubrics.
• Explain reasoning and maintain consistent judgments across evaluations.
• Identify missing information, unsafe actions, or documentation gaps.
• Assess medical necessity, coding accuracy, and payer/regulatory concerns.
• Provide clear evaluation decisions to guide AI behavior improvements.
• Maintain quality and consistency during standardized reviews and calibration.

Skills

Clinical reasoning

Chart review

Documentation

Written communication

Attention to detail

Defensible conclusions

Education

PT license

OT license

SLP license

RN license

RD license

LCSW

PharmD

MD/DO

Job description

Review clinical charts, healthcare simulations, and AI outputs using structured rubrics and expert judgment. This contract role requires professional clinical experience, current credentials, English fluency, and at least 20 hours per week.

100% Remote

Contract, part-time

Engagement

Remote

Location

Oct 29, 2026

Posted

The work

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.

What it pays and takes

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.
• 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.

About AI training work

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.

Requirements

• Experience: Entry level