Open AI training and model evaluation roles that call for Clinical Documentation expertise, gathered from 6 platforms. Part of Health & Medicine.
Pay figures cover the 30 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role involves reviewing and annotating electronic health record data to ensure accuracy and consistency for clinical and research applications. The position is ideal for healthcare professionals with experience in clinical documentation, medical coding, or chart review who have strong attention to detail and can work independently on data quality assurance tasks.
A Clinical Informatics Specialist evaluates electronic medical record workflows, clinical data structures, and decision-support systems to identify inefficiencies and gaps in how clinical information flows through healthcare systems. This remote, flexible contract role is designed for experienced healthcare informatics professionals who work independently to ensure data quality, interoperability, and alignment with clinical standards.
This role involves annotating clinical data from Electronic Health Records to train AI systems. Clinically knowledgeable professionals will review and label medical information including diagnoses, procedures, and clinical notes to improve AI understanding of healthcare data.
This remote, hourly contract asks you to review and grade AI-generated content about healthcare data, electronic health record systems, and clinical workflows. The work helps AI labs make their models more accurate on medical information. It suits health informatics professionals who can judge clinical and technical accuracy and explain their feedback in writing.
This contract role involves labeling and checking clinical and medical research datasets so they can train medical AI systems. It suits people with a healthcare, clinical research, or life sciences background who can apply detailed annotation guidelines consistently and document their reasoning on ambiguous cases.
This contract role asks a seasoned healthcare data professional to set the standards and controls that keep hospital health records accurate, secure, and compliant. The work also supports AI model training and clinical data operations, so the person must connect clinical, IT, and compliance needs. It suits experienced health data specialists who can work independently and remotely.
This remote contract role asks medical science professionals to review and validate AI-generated biomedical content for accuracy, clarity, and context. It suits people with a background in medical affairs, clinical research, or scientific communication who want to shape how AI handles medical information.
This remote freelance role asks registered nurses and clinical informatics professionals to review AI-generated clinical content, EHR workflows and health information outputs. The work is to judge their accuracy, safety and fit with real nursing practice, then give structured feedback that helps healthcare AI systems behave more reliably. It suits clinicians with hands-on health IT experience who can work independently on task-based assignments.
This remote, hourly contract involves labeling and reviewing clinical data, including electronic health records, clinical notes, lab results and medical codes, to help train AI systems used in healthcare. Work includes quality assurance checks, flagging ambiguous cases and giving expert feedback on model outputs. It is aimed at clinicians, health informaticists and healthcare data professionals who can work independently on a flexible schedule.
A Clinical Documentation Specialist evaluates AI-generated medical documentation for integrity, compliance, and adherence to coding and privacy standards. The role requires identifying documentation gaps, missed query opportunities, and HIPAA violations, then providing corrections based on CDI best practices.
This role asks radiologists and imaging technologists to read de-identified scans and judge how accurately frontier AI models interpret them. Contributors write structured reports and impressions, then compare them with model output to find errors and gaps. It suits clinicians with hands-on imaging experience who can explain why a machine-generated report is wrong.
This is a flexible, part-time consulting role for experienced healthcare professionals to complete analytical and decision-making tasks remotely. Consultants will evaluate clinical documentation, interpret healthcare regulations, and provide expert judgment on healthcare-related problems through an online platform, working independently with no set schedule.
This contract role asks hospitalist physicians to review inpatient medical records, including FHIR data and clinical notes, to check that clinical statements are supported by the chart. The work feeds AI training and data quality, using consistent guidelines and clear reporting to the project team. It is aimed at physicians with inpatient medicine backgrounds who can judge documentation accuracy.
Posted October 7, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This contract role asks certified medical coders to review outpatient medical records and assign the correct ICD-10-CM, CPT and HCPCS codes, including E&M leveling. The work supports the training of AI systems, and no prior AI experience is needed because coding expertise is the main requirement.
Posted October 7, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This part-time contract asks physicians to review clinical cases, patient data, and AI-generated medical content, giving expert feedback that helps train AI systems supporting medical decisions. It is aimed at practicing doctors, especially those from general specialties such as internal medicine, family practice, or emergency medicine. No prior AI experience is needed, since clinical knowledge is the main requirement.
Posted October 6, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This is a project-based AI training role for practicing US physicians and licensed clinical professionals to evaluate and improve health-focused AI systems. Contributors review AI-generated medical content for accuracy and safety, create complex clinical scenarios to test AI reasoning, and develop both detailed and ambiguous versions of medical tasks to train AI agents on realistic clinical complexity.
Posted October 5, 2026
Board-certified emergency medicine physician sought to evaluate and annotate clinical documentation generated by medical AI tools. The role involves reviewing patient records, validating the accuracy of emergency summaries produced by AI, and flagging errors or omissions to help engineering teams improve these systems. Profile: practicing emergency physician with at least 2 to 3 years of experience.
Posted October 1, 2026
This role involves examining and evaluating the clinical documentation of hospitalized patients to verify its accuracy, completeness, and compliance with quality standards. You will identify clinically significant errors or omissions, arbitrate ambiguous information, and apply uniform quality criteria. This role is aimed at experienced hospitalist physicians passionate about clinical excellence.
Posted October 1, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This role invites a bilingual Indonesian psychiatrist to contribute to training AI models by developing clinical case studies and annotating psychiatric evaluations. The job combines specialized medical expertise and cultural sensitivity to provide high-quality training data to AI systems. No prior artificial intelligence experience is required; domain knowledge in psychiatry is essential.
Posted September 29, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
You are a bilingual Japanese psychiatrist and contribute to the training of AI systems by developing complex clinical case studies and annotating psychological evaluations. Your professional expertise in Japanese psychiatry and your English proficiency will enable the creation of nuanced, culturally appropriate training data for AI models in the mental health field.
Posted September 28, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
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FAQ
35 Clinical Documentation AI training jobs are open on SideHustler today. 4 were posted in the last 7 days. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 30 open roles that publish an hourly rate in USD, pay runs from $20 to $250 per hour, with a median of $63. These are the rates the platforms publish, not a guarantee of income or hours.
Mercor (13), Alignerr (9), micro1 (9), DataAnnotation (2), Mindrift (1) and Surge AI (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Clinical Documentation, AI Evaluation, Clinical Evaluation, Data Annotation, Clinical Research. Each listing states its own requirements.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
