AI training jobs for doctors and clinicians

Build realistic cardiology cases, judge frontier AI model answers, and write grading rubrics explaining your reasoning.

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

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.

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.

Review medical records and check whether clinical information is supported, identifying missing or incorrect details.

Write expert-level scientific problems in microbiome and metagenomics and evaluate AI model outputs for scientific accuracy.

Draft realistic requests and grading criteria, then review an AI agent's step-by-step work and correct mistakes.

Write realistic tasks and grading criteria, then review AI agents' step-by-step work and correct mistakes.

Write realistic task requests and grading criteria, then review AI agent step-by-step work to spot and correct mistakes.

Build realistic gynecology and obstetrics cases and judge frontier AI model answers against professional standards.

Build realistic dermatology cases and judge frontier AI model answers against professional standards.

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

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 adult medicine records and identify missing, incorrect, or inconsistent information, such as medication interactions, to support AI training.

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.

Share firsthand nursing experiences of social touch in daily caregiving routines to support research on human-robot interactions.

Review AI model responses to psychiatric cases and judge diagnosis, treatment reasoning and risk handling.

Review AI model responses to clinical psychology scenarios and judge their reasoning, ethics and risk handling.

Develop and evaluate complex psychiatric case studies, and provide expert annotations reflecting Cantonese psychiatric practices and perspectives.

Develop and evaluate psychiatric case studies and provide expert annotations to inform AI model training.

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

Review pairs of simulated clinical mental health conversations and determine which more closely reflects a realistic clinical interaction.

Develop and evaluate psychiatric case studies and provide expert annotations reflecting Georgian psychiatric practices for AI model training.

Develop and evaluate complex psychiatric case studies to inform AI model training, and provide expert annotations.

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

Build realistic clinical tasks from your own practice and judge frontier AI model answers.

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.

Author evaluation tasks from journal manuscripts and abstracts, and assess AI-generated draft sections for scientific accuracy and publication formatting standards.

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.

Write benign, dual-use, and adversarial prompts, then evaluate AI responses against a defined policy standard.

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.

Author realistic economic evaluations and grade model output for analytical soundness and defensibility of assumptions.

Evaluate AI-generated patient education, triage guidance, and clinical documentation for accuracy and safety, and create expert demonstrations.

Author clinical dentistry case scenarios with radiographic findings and treatment plans, and grade model output for diagnostic accuracy.

Author realistic veterinary case scenarios and grade model output for diagnostic accuracy, toxicity awareness, and safety.

Author realistic patient scenarios and grade model output for diagnostic accuracy and patient safety.

Author realistic quality scenarios and grade model output for methodological rigor and regulatory accuracy.

Author realistic clinical scenarios and grade model output for diagnostic accuracy, guideline concordance, and patient safety.

Author realistic care coordination scenarios and grade model output for clinical appropriateness and benefit accuracy.

Author realistic clinical social work scenarios and grade model output for clinical accuracy, ethics, and risk handling.

Author realistic rehab scenarios and grade model output for safety, contraindications, and evidence based practice.

Author realistic OT scenarios and grade model output for safety, practicality, and client centered fit.

Author realistic SLP scenarios and grade model output for diagnostic accuracy, safety, and evidence based practice.

Author realistic counseling scenarios including risk and ethical dilemmas, and grade model output for clinical accuracy, ethics, and risk handling.

Author realistic HIM scenarios covering privacy and record integrity, then grade model output for regulatory accuracy.

Author realistic lab scenarios from specimen receipt through result interpretation and grade model output for analytical accuracy.

Author realistic ultrasound scenarios and grade model output for sonographic accuracy and patient safety.

Author realistic nutrition scenarios from referral through follow up and grade model output for evidence quality and patient safety.

Author realistic respiratory care scenarios and grade model output for physiologic accuracy and patient safety.

Author imaging scenarios on positioning, technique, and safety, and grade model output for technical accuracy and radiation safety.

Author ALS scenarios from dispatch through transfer of care and grade model output for protocol accuracy and patient safety.

Author prescription processing and adjudication scenarios and grade model output for dosing math, sig interpretation, and safety flags.

Author realistic prehospital scenarios and grade model output for protocol accuracy and scene safety.

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.

Design and evaluate clinical scenarios that test the AI's ability to interpret and apply pharmaceutical principles.

Design and evaluate clinical scenarios that test the AI's ability to apply medical assisting principles.

Design and evaluate complex medical scenarios, crafting case studies and decision-making challenges that reflect real-world clinical and healthcare dilemmas.