Doctors, Medical Experts – AI Research

Aptura

US-licensed doctors supporting Mentis AI’s healthcare AI projects through clinical data labeling and LLM evaluation. Flexible remote work alongside clinical practice or studies.

Posted 8/7/2026contractRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in clinical evaluation and annotation, with a strong focus on quality assurance and model accuracy in AI healthcare projects. Proficient in clinical terminology and effective communication, ensuring high standards in documentation and collaboration.

Highest-signal resume keywords

Active Medical LicenseClinical Terminology UnderstandingQuality Assurance DevelopmentSummarization SkillsNPI Number Registration

ATS Keywords

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Applicant Tracking System Keywords

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Soft Skills

Attention to DetailWritten Communication SkillsIndependent Work

Certifications & Qualifications

Board Certification

Industry Keywords

AI HealthcareClinical EvaluationAnnotation StandardsHuman-in-the-Loop EvaluationsPrompt EngineeringMedical RecordsClinical ReasoningEdge-Case DatasetsScoring RubricsAsynchronous Environment

About the role

Key responsibilities & impact

Join a growing community of medical experts matched on an ongoing basis to innovative AI healthcare projects
Review and curate clinical notes, audio, videos, and other modalities according to guidelines
Run human-in-the-loop evaluations assessing model accuracy, safety, clinical relevance, and clinical reasoning
Design, test, and iterate prompts and prompt-engineering approaches
Create high-quality instructions and responses and explore edge-case datasets to support fine-tuning
Identify critical and failure points, propose mitigation strategies, and document findings
Develop and refine scoring rubrics for quality assurance
Collaborate with researchers to improve annotation standards, acceptance criteria, and evaluation protocols
Perform varied tasks including labeling clinical notes, summarizing medical records, annotating images, and reviewing and evaluating AI models/LLMs

Requirements

What you’ll need

Doctor based in the US with active license to practice
Native or near-native fluency in English, spoken and written
Good understanding of clinical terminology, tools, and workflows
Excellent summarisation and written communication skills
Strong attention to detail and commitment to clinical accuracy
Comfortable working independently in an asynchronous environment
Registration Number (NPI Number) required
Must be authorized to work in the country physically located in and not require visa sponsorship
Board certification status requested in the application
Specialty and sub-specialty information requested in the application

Benefits

Comp & perks

Remote work
Asynchronous and flexible scheduling, allowing you to balance work with clinical practice or studies
Competitive compensation based on experience
The opportunity to influence and enhance AI tools that serve healthcare professionals
Experience working at the intersection of medicine and AI, helping shape the future of healthcare
Opportunity to collaborate with clinicians and AI researchers to deepen your own clinical acumen and professional expertise in AI within healthcare