AI training jobs for doctors and clinicians

Evaluate AI-generated clinical content on heart failure diagnosis and management, and provide evidence-based feedback to improve AI medical recommendations.

Evaluate AI-generated interpretations of cardiovascular imaging findings and review clinical scenarios involving echocardiography, cardiac MRI, and cardiac CT.

Evaluate AI-generated interventional cardiology information and review scenarios involving coronary angiography, angioplasty, and stent placement.

Evaluate AI-generated interpretations of cardiovascular imaging findings and review clinical scenarios involving echocardiography, cardiac MRI, and cardiac CT.

Review and annotate AI-generated transcripts of outpatient hematology/oncology clinic conversations for accuracy, clinical completeness, and clarity.

Write realistic clinical cases with guideline-based reference answers and develop rubrics assessing clinical accuracy and safety.

Write expert-level microbiome problems with verifiable solutions and review AI model outputs for scientific accuracy.

Review medical charts and validate diagnosis and procedure coding against clinical documentation, flagging documentation gaps.

Annotate and review medical records, assigning ICD-10-CM, ICD-10-PCS, CPT, and HCPCS codes based on documentation.

Review clinical documentation for accuracy and coding integrity, and validate alignment between documentation and assigned codes.

Build realistic cardiology cases, give them to frontier AI models, and write grading rubrics for them.

Read de-identified mammography, ultrasound and breast MRI studies, record reference findings, and review AI-generated reads for errors.

Build realistic gynecology and obstetrics cases and write grading rubrics to judge frontier AI model answers.

Build realistic dermatology cases and write grading rubrics to judge frontier AI model answers.

Define evaluation scope and standards for nuclear and radiological safety, and develop frameworks for safe abstraction of sensitive information.

Annotate and review inpatient clinical documentation and evaluate AI-generated outputs for clinical accuracy, safety, and appropriateness.

Write realistic clinical tasks and evaluate AI-generated medical answers for accuracy, patient safety, and guideline consistency.

Evaluate AI answers to psychiatry questions against de-identified patient charts, choose the stronger of two responses, and write structured rationales.

Create, evaluate, and refine AI-generated clinical study reports, protocol synopses, investigator brochures, and regulatory dossier modules.

Review medical records, including FHIR data and clinical notes, and identify documentation discrepancies or omissions in inpatient care.

Evaluate and refine AI-generated patient throughput and bed utilization models and hospital service line performance dashboards.

Evaluate and refine AI-generated clinical study reports and protocol synopses for language model training.

Create, evaluate, and refine AI-generated documents such as clinical study reports and protocol synopses.

Evaluate and refine AI-generated outbreak risk-communication messaging, plain-language health guidance, and stakeholder briefing documents.

Evaluate and refine AI-generated documents on outbreak and risk-communication messaging and plain-language health guidance.

Evaluate and refine AI-generated clinical study reports and protocol synopses to help train a language model.

Create, evaluate, and refine AI-generated clinical study reports, protocol synopses, and regulatory dossier modules.

Create, evaluate, and refine AI-generated clinical study reports, protocol synopses, and investigator brochures for language model training.

Evaluate and refine AI-generated outbreak and risk-communication messaging, plain-language health guidance, and media statements.

Create and refine AI-generated slide decks, including scientific presentation decks and KOL engagement slides.

Review inpatient medical records and clinical notes to check claims are supported and identify missing, incorrect or inconsistent information.

Review inpatient medical records and identify missing, incorrect, or inconsistent clinical information to support AI model training and data quality.

Review medical records and clinical notes, identifying missing, incorrect, or inconsistent information to improve AI models.

Review pediatric records and clinical notes, identifying missing, incorrect, or inconsistent information to improve AI models.

Review medical records and clinical notes, checking whether clinical information and claims are supported by the medical record.

Create, evaluate, and refine AI-generated presentations and slide decks, including scientific presentation decks and KOL engagement slides.

Evaluate AI model outputs for clinical accuracy and safety, and score diagnoses and care recommendations.

Annotate clinical content and medical records, and evaluate AI-generated outputs for clinical accuracy and safety.

Review medical records and inpatient documentation, and identify missing, incorrect, or inconsistent information to improve AI models.

Annotate and review inpatient clinical documentation and evaluate AI-generated outputs for clinical accuracy, safety, and appropriateness.

Review medical records and inpatient documentation, checking clinical information is supported and identifying missing or inconsistent details.

Review inpatient clinical documentation for accuracy and completeness, and flag clinically significant errors or omissions.

Create expert healthcare questions, design detailed scoring rubrics, and evaluate AI-generated clinical content for accuracy, completeness, and reasoning.

Build clinical tasks, give them to frontier AI models, and write grading rubrics for the results.

Create, evaluate, and refine AI-generated scientific presentation decks, KOL engagement slides, and advisory board materials.

Create, evaluate, and refine AI-generated presentations and slide decks, including scientific presentation decks and evidence summary slides.

Create, evaluate, and refine AI-generated presentations and slide decks such as scientific presentation decks and congress data readout presentations.

Create, evaluate, and refine AI-generated scientific presentation decks and slide decks, including KOL engagement slides and advisory board materials.

Create, evaluate, and refine AI-generated presentations and slide decks, including KOL engagement slides and advisory board materials.

Write clinical cases with reference answers and grade AI model output on clinical reasoning.

Write clinical vignettes with attending-level reference answers and grade model output on diagnostic reasoning and workup.

Review outpatient clinical notes and evaluate AI-generated notes and summaries for accuracy, completeness, and clinical soundness.

Review inpatient documentation and evaluate AI-generated notes, flagging omissions, hallucinations, and clinical inaccuracies with structured written feedback.

Review AI-generated clinical outputs based on nursing flowsheet documentation and validate accuracy and completeness against documentation standards.

Evaluate AI-generated clinical assessments and treatment plans for quality and accuracy, and compare AI responses based on clinical reasoning.

Review AI-generated medical content and trainer work against project guidelines and provide precise written feedback on quality.

Review AI-generated clinical responses and fact-check medical information, providing precise written feedback on reasoning quality and accuracy.

Review AI-generated clinical responses, evaluating reasoning quality and giving written feedback on accuracy, safety, and clarity.

Review AI-generated nursing and clinical-care responses, evaluating reasoning quality and providing precise written feedback.

Review AI-generated radiology responses and evaluate imaging reasoning, writing precise written feedback on accuracy and safety.

Review AI-generated dental and oral-health responses and write expert model solutions demonstrating correct clinical reasoning.

Review AI-generated public health responses for errors in epidemiologic reasoning, and write gold-standard prompts and answers on public health topics.

Review AI-generated clinical research content and identify errors in study design, statistics, and evidence interpretation.

Review AI-generated medication responses and evaluate pharmacotherapy reasoning, identifying errors in dosing, contraindications, and interactions.

Review AI-generated medical responses, fact-check clinical information, and rate and compare multiple responses based on correctness and reasoning quality.